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Pipeline run

acdc7cd0-4eb2-4587-a7b1-84232fdfd977

Pipeline LLM cost (USD)
API 1: $0.0038 API 2: $0.0006 API 3: $0.0000 Total: $0.0044

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
Nature of work · Video Codec Development
Build and optimize video codec software in C/C++ for x86 and ARM, including encoders/decoders, transcoding, and pre/post-processing, while debugging, profiling, and working on AV1/H.265 and ML-based compression.
"Development and implementation of optimized algorithms for video encoders, video decoders, video pre and post processing components on x86 and ARM based CPUs"
Tech stack maturity
Mainstream Legacy
The stack centers on low-level C with SIMD optimization on ARM/NEON and SSE, which is typical of established performance-critical codec engineering rather than cloud-native or bleeding-edge AI tooling.
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.50 / 5
· Title match
✓ Has AI skill
· AI skill (primary)
✓ AI skill (secondary)
· On AI team
· Builds AI products
vocab breakdown (legacy)
Assistants (×1): —
Frameworks (×2): —
Models / concepts (×3): Machine Learning
Evidence — skills matched in JD (19)
C C++ x86 SSE AVX ARM NEON Git AV1 H.265 H.264 MPEG-2 VP9 OpenCL CUDA Machine Learning Neural Networks Multithreading Cache Optimization
Skill cluster (5 dimension groups, role-scoped)
Codec Standards and Bitstreams
AV1 VP9
Hardware Acceleration and SIMD
SSE NEON
Video Codec Languages and DSLs
C C++
AI Governance and Model Security
Machine Learning
Cross-cutting / unaligned
x86 AVX ARM Git H.265 H.264 MPEG-2 OpenCL CUDA Neural Networks Multithreading Cache Optimization
Show KRA description ↓
The prospective candidate will be part of the Advanced Video and Research Team that designs and delivers video codec solutions for industry leaders in video technology. The key responsibilities of the job would be to deliver and excel on the following fronts (not limited to): • Development and implementation of optimized algorithms for video encoders, video decoders, video pre and post processing components on x86 and ARM based CPUs • Work involves implementation of high quality video encoders, decoders and transcoders and associated intellectual properties like Motion estimation, Rate Control algorithms, Scene Cut Detection, Fade-in / Fade-out Compensation, De-interlacing, De-noising as an example • Working on latest technology of Machine learning and Neural Network based video compression • Knowledge of C/C++ • Knowledge of x86 based development, intrinsic like SSE, AVX based coding • Knowledge of ARM based development, intrinsic like Neon coding • Debugging, profiling and development environments • Good knowledge of video standards like AV1 and H.265 • Working knowledge of H.264, MPEG-2 and VP9 is good to possess • Software Processes, Git, Configuration Management, Test Planning and Execution • Exposure to multi-threaded, cache optimal designs of video codecs • Exposure to OpenCL based GPU development / CUDA based programming • Aware of Machine learning and Neural Network basics.

Signals

Skill video-codec-engineer
0.26
Alias video-codec-engineer
1.00
KRA —
—

Post-classification

Centroid—
Alias collision log—
New-role queue—
New skills captured9
New KRA capturedyes

Captured for admin review

x86 primary ↔ Video Codec Engineer pending
AVX primary ↔ Video Codec Engineer pending
H.265 primary ↔ Video Codec Engineer pending
H.264 ↔ Video Codec Engineer pending
MPEG-2 ↔ Video Codec Engineer pending
OpenCL ↔ Video Codec Engineer pending
CUDA ↔ Video Codec Engineer pending
Neural Networks ↔ Video Codec Engineer pending
Cache Optimization ↔ Video Codec Engineer pending
R&R fragment (sim 0.00) ↔ Video Codec Engineer pending

The prospective candidate will be part of the Advanced Video and Research Team that designs and delivers video codec solutions for industry leaders in video technology. The key responsibilities of th…

Status: completed Created: 2026-05-20T18:44:51.861955Z Updated: 2026-05-20T18:44:58.245636Z API 3 duration: 255 ms
Flow Current 3-step pipeline

1 POST /skills/extract-from-jd

2 POST /skills/extract-details

3 POST /skills/final-role-output

Role Chosen role & resolution

Video Codec Engineer

CASE A

slug: video-codec-engineer · id: 22 · source: db

The role aligns closely with the primary skills related to video codec development.

Resolution: in_db — role exists in library; skill↔dim and role↔dim links saved when applicable.

0
New skills
0
Skill↔dim saved
0
Role↔dim saved
3
Skipped

Job description

Role : Video Codec Engineer 

Required Experience: Candidates must have development experience ranging from 2 to 4 years.
• Experience in implementing video compression standards based and/or proprietary Image and Video codecs/algorithms
• Must have exposure and development experience ARM and/or x86 based platforms like Xeon E5/E3, Core-i7/i5
• Experience of development using operating systems like Windows / Linux / OS X

Job Description: The prospective candidate will be part of the Advanced Video and Research Team that designs and delivers video codec solutions for industry leaders in video technology.

Responsibility: The key responsibilities of the job would be to deliver and excel on the following fronts (not limited to):
• Development and implementation of optimized algorithms for video encoders, video decoders, video pre and post processing components on x86 and ARM based CPUs
• Work involves implementation of high quality video encoders, decoders and transcoders and associated intellectual properties like Motion estimation, Rate Control algorithms, Scene Cut Detection, Fade-in / Fade-out Compensation, De-interlacing, De-noising as an example
• Working on latest technology of Machine learning and Neural Network based video compression

Educational Qualification: Masters or Bachelor’s Degree in Computer Science / Electronics and Communication

Required Technical Skills:
• Knowledge of C/C++
• Knowledge of x86 based development, intrinsic like SSE, AVX based coding
• Knowledge of ARM based development, intrinsic like Neon coding
• Debugging, profiling and development environments
• Good knowledge of video standards like AV1 and H.265
• Working knowledge of H.264, MPEG-2 and VP9 is good to possess
• Software Processes, Git, Configuration Management, Test Planning and Execution
• Exposure to multi-threaded, cache optimal designs of video codecs
• Exposure to OpenCL based GPU development / CUDA based programming
• Aware of Machine learning and Neural Network basics.

Location: Bengaluru, Karnataka

Skills from this JD

Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.

C Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: C id=4 · c

Aliases — catalog

  • C# (CANONICAL) primary
  • C (CANONICAL)
  • C# 1 (VERSION)
  • C# 10 (VERSION)
  • C# 11 (VERSION)
  • C# 12 (VERSION)
  • C# 13 (VERSION)
  • C# 14 (VERSION)
  • C# 2 (VERSION)
  • C# 3 (VERSION)
  • C# 4 (VERSION)
  • C# 5 (VERSION)
  • C# 6 (VERSION)
  • C# 7 (VERSION)
  • C# 8 (VERSION)
  • C# 9 (VERSION)
  • C# latest (VERSION)
  • C#1 (VERSION)
  • C#10 (VERSION)
  • C#11 (VERSION)
  • C#12 (VERSION)
  • C#2 (VERSION)
  • C#3 (VERSION)
  • C#4 (VERSION)
  • C#5 (VERSION)
  • C#6 (VERSION)
  • C#7 (VERSION)
  • C#8 (VERSION)
  • C#9 (VERSION)
  • C++ (CANONICAL)
  • C++03 (VERSION)
  • C++11 (VERSION)
  • C++14 (VERSION)
  • C++17 (VERSION)
  • C++20 (VERSION)
  • C++23 (VERSION)
  • C++26 (VERSION)
  • C++98 (VERSION)
  • c sharp (VERSION)
  • c# (VERSION)
  • cpp03 (VERSION)
  • cpp11 (VERSION)
  • cpp14 (VERSION)
  • cpp17 (VERSION)
  • cpp20 (VERSION)
  • cpp23 (VERSION)
  • cpp26 (VERSION)
  • cpp98 (VERSION)
  • csharp (VERSION)
  • modern C++ (VERSION)

Context tags (catalog)

.NET ASP.NET Azure Boost C# 9 C11 C99 CLR CMake Entity Framework LINQ MSBuild MVC Makefile NuGet Qt RAII Roslyn STL TDD Unity Visual Studio WPF Web API WinForms Xamarin async/await attributes buffer overflow constexpr delegates dependency injection dynamic memory events free function pointer gcc gdb header files inline interfaces linker malloc memory leak memory management move semantics multithreading operator overloading pointer pointers preprocessor segmentation fault smart pointers stdio.h stdlib.h struct syntax error templates typedef xUnit

Stored enrichment (catalog DB)

Category
Language
Sub-category
Programming Language
Vendor
Microsoft
License
mit
Year introduced
2000
Confidence
0.99
Version strategy
SEPARATE_ENTITY
Version tag
latest

Maturity reasoning: C# is a mainstream hiring staple with high JD volume across .NET, Azure, and enterprise roles; Microsoft continues active platform investment in .NET, reinforcing broad adoption.

Skill profile (library / DB)

Skill nature
LANGUAGE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
6
Sub-category id
96
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cross-Platform App Languages Catalog dimension db id 167

    Library dimension (catalog)

    Roles linked in library: Hybrid Mobile Developer

  • Programming Languages Catalog dimension db id 1

    Library dimension (catalog)

    Roles linked in library: Backend Engineer, Full Stack Engineer

  • Programming Languages for ML Systems Catalog dimension db id 39

    Library dimension (catalog)

    Roles linked in library: ML Engineer, ML Ops Engineer

  • Programming Languages for XR Catalog dimension db id 97

    Library dimension (catalog)

    Roles linked in library: AR/VR Engineer

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

  • Video Codec Languages and DSLs Catalog dimension db id 225

    Library dimension (catalog)

    Roles linked in library: Video Codec Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cross-Platform App Languages
cross-platform-app-languages
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages
programming-languages
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for ML Systems
programming-languages-for-ml-systems
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for XR
programming-languages-for-xr
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
React Frontend Development
d_init_01
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Video Codec Languages and DSLs
video-codec-languages-and-dsls
 ✓ ✓ Existing dimension (library) · Role↔dimension saved
C++ Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: C id=4 · c

Aliases — catalog

  • C# (CANONICAL) primary
  • C (CANONICAL)
  • C# 1 (VERSION)
  • C# 10 (VERSION)
  • C# 11 (VERSION)
  • C# 12 (VERSION)
  • C# 13 (VERSION)
  • C# 14 (VERSION)
  • C# 2 (VERSION)
  • C# 3 (VERSION)
  • C# 4 (VERSION)
  • C# 5 (VERSION)
  • C# 6 (VERSION)
  • C# 7 (VERSION)
  • C# 8 (VERSION)
  • C# 9 (VERSION)
  • C# latest (VERSION)
  • C#1 (VERSION)
  • C#10 (VERSION)
  • C#11 (VERSION)
  • C#12 (VERSION)
  • C#2 (VERSION)
  • C#3 (VERSION)
  • C#4 (VERSION)
  • C#5 (VERSION)
  • C#6 (VERSION)
  • C#7 (VERSION)
  • C#8 (VERSION)
  • C#9 (VERSION)
  • C++ (CANONICAL)
  • C++03 (VERSION)
  • C++11 (VERSION)
  • C++14 (VERSION)
  • C++17 (VERSION)
  • C++20 (VERSION)
  • C++23 (VERSION)
  • C++26 (VERSION)
  • C++98 (VERSION)
  • c sharp (VERSION)
  • c# (VERSION)
  • cpp03 (VERSION)
  • cpp11 (VERSION)
  • cpp14 (VERSION)
  • cpp17 (VERSION)
  • cpp20 (VERSION)
  • cpp23 (VERSION)
  • cpp26 (VERSION)
  • cpp98 (VERSION)
  • csharp (VERSION)
  • modern C++ (VERSION)

Context tags (catalog)

.NET ASP.NET Azure Boost C# 9 C11 C99 CLR CMake Entity Framework LINQ MSBuild MVC Makefile NuGet Qt RAII Roslyn STL TDD Unity Visual Studio WPF Web API WinForms Xamarin async/await attributes buffer overflow constexpr delegates dependency injection dynamic memory events free function pointer gcc gdb header files inline interfaces linker malloc memory leak memory management move semantics multithreading operator overloading pointer pointers preprocessor segmentation fault smart pointers stdio.h stdlib.h struct syntax error templates typedef xUnit

Stored enrichment (catalog DB)

Category
Language
Sub-category
Programming Language
Vendor
Microsoft
License
mit
Year introduced
2000
Confidence
0.99
Version strategy
SEPARATE_ENTITY
Version tag
latest

Maturity reasoning: C# is a mainstream hiring staple with high JD volume across .NET, Azure, and enterprise roles; Microsoft continues active platform investment in .NET, reinforcing broad adoption.

Skill profile (library / DB)

Skill nature
LANGUAGE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
6
Sub-category id
96
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cross-Platform App Languages Catalog dimension db id 167

    Library dimension (catalog)

    Roles linked in library: Hybrid Mobile Developer

  • Programming Languages Catalog dimension db id 1

    Library dimension (catalog)

    Roles linked in library: Backend Engineer, Full Stack Engineer

  • Programming Languages for ML Systems Catalog dimension db id 39

    Library dimension (catalog)

    Roles linked in library: ML Engineer, ML Ops Engineer

  • Programming Languages for XR Catalog dimension db id 97

    Library dimension (catalog)

    Roles linked in library: AR/VR Engineer

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

  • Video Codec Languages and DSLs Catalog dimension db id 225

    Library dimension (catalog)

    Roles linked in library: Video Codec Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cross-Platform App Languages
cross-platform-app-languages
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages
programming-languages
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for ML Systems
programming-languages-for-ml-systems
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for XR
programming-languages-for-xr
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
React Frontend Development
d_init_01
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Video Codec Languages and DSLs
video-codec-languages-and-dsls
 ✓ ✓ Existing dimension (library) · Role↔dimension saved
x86 Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Architectural Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
SSE Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: SSE id=1718 · sse

Aliases — catalog

  • SSE (CANONICAL) primary

Context tags (catalog)

CPU architecture SIMD assembly language cache optimization compiler optimizations data-level parallelism hardware acceleration intrinsics low-level programming memory alignment multi-threading parallel processing performance optimization register allocation vectorization

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Simd Instruction Set Extension
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: SSE is a long-established x86 SIMD extension; it appears in systems/performance JDs and is widely supported by compilers and CPUs, though newer AVX/AVX2/AVX-512 often supersede it for greenfield optimization.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
1277
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Hardware Acceleration and SIMD Catalog dimension db id 235

    Library dimension (catalog)

    Roles linked in library: Video Codec Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Hardware Acceleration and SIMD
hardware-acceleration-and-simd
 ✓ ✓ Existing dimension (library) · Role↔dimension saved
AVX Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: AVX2 id=1716 · avx2

Aliases — catalog

  • AVX2 (CANONICAL) primary

Context tags (catalog)

AVX-512 FMA SIMD bit manipulation cache utilization compiler optimizations data-level parallelism floating-point operations instruction pipelining intrinsics microarchitecture multithreading parallel processing performance optimization vectorization

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Simd Instruction Set Extension
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: AVX2 appears in specialized systems/performance JDs, but far less often than mainstream platforms; it’s a CPU SIMD extension used in HPC, media, and low-level optimization rather than a broad hiring staple.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
1277
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Hardware Acceleration and SIMD Catalog dimension db id 235

    Library dimension (catalog)

    Roles linked in library: Video Codec Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Hardware Acceleration and SIMD
hardware-acceleration-and-simd
 — — Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
ARM Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: ARM id=1621 · arm

Aliases — catalog

  • AArch64 (VERSION)
  • ARM (CANONICAL)
  • ARMv8 (VERSION)
  • arm64 (VERSION)

Context tags (catalog)

ARM Cortex ARMv7 ARMv8 JTAG NEON RISC SoC Thumb assembly language cross-compilation debugging embedded systems hardware abstraction low-level programming microcontroller real-time operating systems

Stored enrichment (catalog DB)

Category
Architecture
Sub-category
Instruction Set Architecture
Confidence
0.91
Version strategy
SEPARATE_ENTITY
Version tag
ARMv8-A

Maturity reasoning: ARM is a dominant instruction-set architecture in mobile, embedded, and increasingly server/cloud chips; job postings commonly mention ARM64/AArch64 alongside Linux and systems work.

Skill profile (library / DB)

Skill nature
PATTERN
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
1
Sub-category id
1222
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
React Frontend Development
d_init_01
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
NEON Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: NEON id=1717 · neon

Aliases — catalog

  • NEON (CANONICAL) primary

Context tags (catalog)

SIMD algorithm optimization bit manipulation compiler support data parallelism embedded systems floating-point operations hardware acceleration instruction set low-level programming memory alignment multithreading parallel processing performance optimization vectorization

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Simd Instruction Set Extension
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: ARM NEON is a standard SIMD extension on mobile/embedded ARM chips and appears in many performance/embedded JDs and compiler docs, especially for multimedia and ML acceleration.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
1277
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Hardware Acceleration and SIMD Catalog dimension db id 235

    Library dimension (catalog)

    Roles linked in library: Video Codec Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Hardware Acceleration and SIMD
hardware-acceleration-and-simd
 ✓ ✓ Existing dimension (library) · Role↔dimension saved
Git Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Git id=1002 · git

Aliases — catalog

  • Git (CANONICAL)

Context tags (catalog)

CI/CD GitHub GitLab branching checkout clone commit fork merging pull request rebase remote repository stash versioning

Stored enrichment (catalog DB)

Category
Tool
Sub-category
Version Control Tool
Vendor
Linus Torvalds
License
gpl_v2
Year introduced
2005
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: Git is a hiring-pipeline staple: it appears in the vast majority of software engineering job descriptions and is the default VCS on GitHub/GitLab/Bitbucket.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
13
Sub-category id
730
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
React Frontend Development
d_init_01
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AV1 Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: AV1 id=1678 · av1

Aliases — catalog

  • AV1 (CANONICAL) primary

Context tags (catalog)

AV1 decoder AV1 encoder HEVC adaptive streaming bitrate codec container formats decoding encoding interoperability media playback streaming video compression video delivery video quality

Stored enrichment (catalog DB)

Category
Standard
Sub-category
Video Codec Standard
Vendor
Alliance for Open Media
License
other_open
Year introduced
2018
Confidence
0.96
Version strategy
NOT_APPLICABLE

Maturity reasoning: AV1 is increasingly requested in streaming/media JDs and supported by major vendors (YouTube, Netflix, Chrome/Firefox), but it’s still far less universal than H.264/H.265 in job postings.

Skill profile (library / DB)

Skill nature
STANDARD
Volatility
EMERGING
Typical lifespan
EVERGREEN
Category id
12
Sub-category id
1308
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Codec Standards and Bitstreams Catalog dimension db id 227

    Library dimension (catalog)

    Roles linked in library: Video Codec Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Codec Standards and Bitstreams
codec-standards-and-bitstreams
 ✓ ✓ Existing dimension (library) · Role↔dimension saved
H.265 Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: H.265/HEVC id=1677 · h-265-hevc

Aliases — catalog

  • H.265/HEVC (CANONICAL) primary

Context tags (catalog)

4K HDR bitrate codec container format decoding encoding hardware acceleration inter-frame intra-frame level profile streaming video compression video quality

Stored enrichment (catalog DB)

Category
Standard
Sub-category
Video Codec Standard
Vendor
ITU-T
License
unknown
Year introduced
2013
Confidence
0.97
Version strategy
NOT_APPLICABLE

Maturity reasoning: Widely used in streaming, broadcast, and device pipelines; job ads for video/codec engineers still mention HEVC alongside H.264/AV1, and major vendors ship hardware decode/encode support.

Skill profile (library / DB)

Skill nature
STANDARD
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
12
Sub-category id
1308
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Codec Standards and Bitstreams Catalog dimension db id 227

    Library dimension (catalog)

    Roles linked in library: Video Codec Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Codec Standards and Bitstreams
codec-standards-and-bitstreams
 — — Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
H.264 Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: H.264/AVC id=1676 · h-264-avc

Aliases — catalog

  • H.264/AVC (CANONICAL) primary

Context tags (catalog)

AVC B-frame CABAC HLS I-frame MP4 P-frame bitrate container format entropy coding level profile streaming video compression video encoding

Stored enrichment (catalog DB)

Category
Standard
Sub-category
Video Codec Standard
Vendor
ITU-T
License
unknown
Year introduced
2003
Confidence
0.97
Version strategy
NOT_APPLICABLE

Maturity reasoning: H.264/AVC is still widely required in video streaming, conferencing, and hardware encoding/decoding JDs; it remains a default codec in major vendor stacks despite newer alternatives like AV1.

Skill profile (library / DB)

Skill nature
STANDARD
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
12
Sub-category id
1308
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Codec Standards and Bitstreams Catalog dimension db id 227

    Library dimension (catalog)

    Roles linked in library: Video Codec Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Codec Standards and Bitstreams
codec-standards-and-bitstreams
 — — Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
MPEG-2 Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Video Compression Standards
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
VP9 Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: VP9 id=1679 · vp9

Aliases — catalog

  • VP9 (CANONICAL) primary

Context tags (catalog)

AV1 WebM adaptive streaming bitrate codec optimization decoding encoding hardware acceleration lossless compression media container real-time streaming video compression video conferencing video quality video streaming

Stored enrichment (catalog DB)

Category
Standard
Sub-category
Video Codec Standard
Vendor
Google
License
bsd
Year introduced
2013
Confidence
0.95
Version strategy
NOT_APPLICABLE

Maturity reasoning: VP9 appears in some media/streaming and browser JDs, but far less often than H.264/AV1; market demand is limited and it’s largely overshadowed by AV1 in new deployments.

Skill profile (library / DB)

Skill nature
STANDARD
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
12
Sub-category id
1308
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Codec Standards and Bitstreams Catalog dimension db id 227

    Library dimension (catalog)

    Roles linked in library: Video Codec Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Codec Standards and Bitstreams
codec-standards-and-bitstreams
 ✓ ✓ Existing dimension (library) · Role↔dimension saved
OpenCL Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Programming Languages
Sub-category
general
Skill nature
LANGUAGE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
CUDA Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Programming Languages
Sub-category
general
Skill nature
LANGUAGE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Machine Learning Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Machine Learning id=1356 · machine-learning

Aliases — catalog

  • Machine Learning (CANONICAL)

Context tags (catalog)

Keras PyTorch TensorFlow cross-validation data preprocessing ensemble methods feature engineering hyperparameter tuning model evaluation natural language processing neural networks reinforcement learning scikit-learn supervised learning unsupervised learning

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Machine Learning
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Machine Learning appears in large volumes of job descriptions across data, product, and platform roles, and major cloud vendors (AWS, Google Cloud, Azure) offer dedicated ML services and certifications, indicating broad adoption.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
1024
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • AI Governance and Model Security Catalog dimension db id 50

    Library dimension (catalog)

    Roles linked in library: AI Engineer, ML Engineer, ML Ops Engineer

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
AI Governance and Model Security
ai-governance-and-model-security
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
React Frontend Development
d_init_01
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Neural Networks Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Machine Learning Frameworks
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Multithreading Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: multithreading id=82 · multithreading

Aliases — catalog

  • multithreading (CANONICAL) primary

Context tags (catalog)

atomic operations concurrent execution condition variable deadlock lock contention mutex non-blocking parallelism producer-consumer race condition semaphore synchronization thread pool thread-safe work stealing

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Concurrency Concept
Confidence
0.94
Version strategy
NOT_APPLICABLE

Maturity reasoning: Common requirement in JDs for backend, systems, and mobile roles; widely taught and used across Java, C++, Go, and Python concurrency stacks.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
7
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Concurrency and Parallel Processing Catalog dimension db id 17

    Library dimension (catalog)

    Roles linked in library: Backend Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Concurrency and Parallel Processing
concurrency-and-parallel-processing
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cache Optimization Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Performance Optimization Techniques
Sub-category
general
Skill nature
PRACTICE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED

All API 3 persistence rows

Same grid as the skill-extractor “Persistence items” table: one row per (skill × dimension) work item.

Skill Tag Dimension Skill↔dim Role↔dim Outcome Notes
C in_db
Cross-Platform App Languages
cross-platform-app-languages
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
C in_db
Programming Languages
programming-languages
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
C in_db
Programming Languages for ML Systems
programming-languages-for-ml-systems
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
C in_db
Programming Languages for XR
programming-languages-for-xr
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
C in_db
React Frontend Development
d_init_01
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
C in_db
Video Codec Languages and DSLs
video-codec-languages-and-dsls
 ✓ ✓ Existing dimension (library) · Role↔dimension saved
C++ in_db
Cross-Platform App Languages
cross-platform-app-languages
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
C++ in_db
Programming Languages
programming-languages
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
C++ in_db
Programming Languages for ML Systems
programming-languages-for-ml-systems
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
C++ in_db
Programming Languages for XR
programming-languages-for-xr
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
C++ in_db
React Frontend Development
d_init_01
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
C++ in_db
Video Codec Languages and DSLs
video-codec-languages-and-dsls
 ✓ ✓ Existing dimension (library) · Role↔dimension saved
SSE in_db
Hardware Acceleration and SIMD
hardware-acceleration-and-simd
 ✓ ✓ Existing dimension (library) · Role↔dimension saved
AVX new
Hardware Acceleration and SIMD
hardware-acceleration-and-simd
 — — Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
ARM in_db
React Frontend Development
d_init_01
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
NEON in_db
Hardware Acceleration and SIMD
hardware-acceleration-and-simd
 ✓ ✓ Existing dimension (library) · Role↔dimension saved
Git in_db
React Frontend Development
d_init_01
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AV1 in_db
Codec Standards and Bitstreams
codec-standards-and-bitstreams
 ✓ ✓ Existing dimension (library) · Role↔dimension saved
H.265 new
Codec Standards and Bitstreams
codec-standards-and-bitstreams
 — — Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
H.264 new
Codec Standards and Bitstreams
codec-standards-and-bitstreams
 — — Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
VP9 in_db
Codec Standards and Bitstreams
codec-standards-and-bitstreams
 ✓ ✓ Existing dimension (library) · Role↔dimension saved
Machine Learning in_db
AI Governance and Model Security
ai-governance-and-model-security
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Machine Learning in_db
React Frontend Development
d_init_01
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Multithreading in_db
Concurrency and Parallel Processing
concurrency-and-parallel-processing
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed x86 | type=Architectural Concepts subtype=general nature=CONCEPT lifespan=EVERGREEN
canonical_skill_proposed MPEG-2 | type=Video Compression Standards subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed OpenCL | type=Programming Languages subtype=general nature=LANGUAGE lifespan=MULTI_YEAR
canonical_skill_proposed CUDA | type=Programming Languages subtype=general nature=LANGUAGE lifespan=MULTI_YEAR
canonical_skill_proposed Neural Networks | type=Machine Learning Frameworks subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed Cache Optimization | type=Performance Optimization Techniques subtype=general nature=PRACTICE lifespan=MULTI_YEAR
dimension_skill_link_proposed AVX ↔ Hardware Acceleration and SIMD
role_dimension_link_proposed Video Codec Engineer ↔ Hardware Acceleration and SIMD
dimension_skill_link_proposed H.265 ↔ Codec Standards and Bitstreams
role_dimension_link_proposed Video Codec Engineer ↔ Codec Standards and Bitstreams
dimension_skill_link_proposed H.264 ↔ Codec Standards and Bitstreams
role_dimension_link_proposed Video Codec Engineer ↔ Codec Standards and Bitstreams
nano JD Parser — gpt-4.1-nano click to toggle
RoleVideo Codec Engineer
ExperienceCandidates must have development experience ranging from 2 to 4 years.
DomainOther
Location Bengaluru, India
JD type pass
Show raw JSON 
{
  "JD_type": "pass",
  "about_company": null,
  "certifications": [],
  "company_name": null,
  "ctc": null,
  "domain": {
    "primary": {
      "aliases": [],
      "domain": "Other"
    },
    "secondary": null
  },
  "education": [
    {
      "level": "Bachelor\u0027s",
      "qualification": "BTECH/BE - Computer Science / Electronics and Communication",
      "raw": "Masters or Bachelor\u2019s Degree in Computer Science / Electronics and Communication",
      "requirement": "required"
    }
  ],
  "experience": {
    "max": 4,
    "min": 2,
    "raw": "Candidates must have development experience ranging from 2 to 4 years."
  },
  "job_locations": [
    {
      "aliases": [
        "Bangalore"
      ],
      "city": "Bengaluru",
      "country": "India",
      "state": "Karnataka",
      "work_mode": null
    }
  ],
  "role": "Video Codec Engineer",
  "role_aliases": [
    "Codec Engineer",
    "Video Engineer",
    "Video Software Engineer"
  ],
  "role_archetype": "Engineering",
  "roles_and_responsibilities": [
    {
      "bullet_count": 0,
      "heading": "Job Description",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "The prospective candidate will be",
        "last_5_words": "in video technology."
      },
      "text": "The prospective candidate will be part of the Advanced Video and Research Team that designs and delivers video codec solutions for industry leaders in video technology.",
      "word_count": 27
    },
    {
      "bullet_count": 3,
      "heading": "Responsibility",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "The key responsibilities of the",
        "last_5_words": "video compression"
      },
      "text": "The key responsibilities of the job would be to deliver and excel on the following fronts (not limited to):\n\u2022 Development and implementation of optimized algorithms for video encoders, video decoders, video pre and post processing components on x86 and ARM based CPUs\n\u2022 Work involves implementation of high quality video encoders, decoders and transcoders and associated intellectual properties like Motion estimation, Rate Control algorithms, Scene Cut Detection, Fade-in / Fade-out Compensation, De-interlacing, De-noising as an example\n\u2022 Working on latest technology of Machine learning and Neural Network based video compression",
      "word_count": 64
    },
    {
      "bullet_count": 10,
      "heading": "Required Technical Skills",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Knowledge of C/C++\n\u2022 Knowledge of",
        "last_5_words": "and Neural Network basics."
      },
      "text": "\u2022 Knowledge of C/C++\n\u2022 Knowledge of x86 based development, intrinsic like SSE, AVX based coding\n\u2022 Knowledge of ARM based development, intrinsic like Neon coding\n\u2022 Debugging, profiling and development environments\n\u2022 Good knowledge of video standards like AV1 and H.265\n\u2022 Working knowledge of H.264, MPEG-2 and VP9 is good to possess\n\u2022 Software Processes, Git, Configuration Management, Test Planning and Execution\n\u2022 Exposure to multi-threaded, cache optimal designs of video codecs\n\u2022 Exposure to OpenCL based GPU development / CUDA based programming\n\u2022 Aware of Machine learning and Neural Network basics.",
      "word_count": 104
    }
  ],
  "urls": []
}
API 1 — extract-from-jd click to toggle 
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "C"
    },
    {
      "is_primary": true,
      "skill_name": "C++"
    },
    {
      "is_primary": true,
      "skill_name": "x86"
    },
    {
      "is_primary": true,
      "skill_name": "SSE"
    },
    {
      "is_primary": true,
      "skill_name": "AVX"
    },
    {
      "is_primary": true,
      "skill_name": "ARM"
    },
    {
      "is_primary": true,
      "skill_name": "NEON"
    },
    {
      "is_primary": true,
      "skill_name": "Git"
    },
    {
      "is_primary": true,
      "skill_name": "AV1"
    },
    {
      "is_primary": true,
      "skill_name": "H.265"
    },
    {
      "is_primary": false,
      "skill_name": "H.264"
    },
    {
      "is_primary": false,
      "skill_name": "MPEG-2"
    },
    {
      "is_primary": false,
      "skill_name": "VP9"
    },
    {
      "is_primary": false,
      "skill_name": "OpenCL"
    },
    {
      "is_primary": false,
      "skill_name": "CUDA"
    },
    {
      "is_primary": false,
      "skill_name": "Machine Learning"
    },
    {
      "is_primary": false,
      "skill_name": "Neural Networks"
    },
    {
      "is_primary": false,
      "skill_name": "Multithreading"
    },
    {
      "is_primary": false,
      "skill_name": "Cache Optimization"
    }
  ],
  "jd_role": {
    "display_name": "Video Codec Engineer",
    "rationale": null,
    "role_aliases": [
      "Codec Engineer",
      "Video Engineer",
      "Video Software Engineer"
    ],
    "role_archetype": "Engineering",
    "slug": ""
  },
  "nano_parsed": {
    "JD_type": "pass",
    "about_company": null,
    "certifications": [],
    "company_name": null,
    "ctc": null,
    "domain": {
      "primary": {
        "aliases": [],
        "domain": "Other"
      },
      "secondary": null
    },
    "education": [
      {
        "level": "Bachelor\u0027s",
        "qualification": "BTECH/BE - Computer Science / Electronics and Communication",
        "raw": "Masters or Bachelor\u2019s Degree in Computer Science / Electronics and Communication",
        "requirement": "required"
      }
    ],
    "experience": {
      "max": 4,
      "min": 2,
      "raw": "Candidates must have development experience ranging from 2 to 4 years."
    },
    "job_locations": [
      {
        "aliases": [
          "Bangalore"
        ],
        "city": "Bengaluru",
        "country": "India",
        "state": "Karnataka",
        "work_mode": null
      }
    ],
    "role": "Video Codec Engineer",
    "role_aliases": [
      "Codec Engineer",
      "Video Engineer",
      "Video Software Engineer"
    ],
    "role_archetype": "Engineering",
    "roles_and_responsibilities": [
      {
        "bullet_count": 0,
        "heading": "Job Description",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "The prospective candidate will be",
          "last_5_words": "in video technology."
        },
        "text": "The prospective candidate will be part of the Advanced Video and Research Team that designs and delivers video codec solutions for industry leaders in video technology.",
        "word_count": 27
      },
      {
        "bullet_count": 3,
        "heading": "Responsibility",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "The key responsibilities of the",
          "last_5_words": "video compression"
        },
        "text": "The key responsibilities of the job would be to deliver and excel on the following fronts (not limited to):\n\u2022 Development and implementation of optimized algorithms for video encoders, video decoders, video pre and post processing components on x86 and ARM based CPUs\n\u2022 Work involves implementation of high quality video encoders, decoders and transcoders and associated intellectual properties like Motion estimation, Rate Control algorithms, Scene Cut Detection, Fade-in / Fade-out Compensation, De-interlacing, De-noising as an example\n\u2022 Working on latest technology of Machine learning and Neural Network based video compression",
        "word_count": 64
      },
      {
        "bullet_count": 10,
        "heading": "Required Technical Skills",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "\u2022 Knowledge of C/C++\n\u2022 Knowledge of",
          "last_5_words": "and Neural Network basics."
        },
        "text": "\u2022 Knowledge of C/C++\n\u2022 Knowledge of x86 based development, intrinsic like SSE, AVX based coding\n\u2022 Knowledge of ARM based development, intrinsic like Neon coding\n\u2022 Debugging, profiling and development environments\n\u2022 Good knowledge of video standards like AV1 and H.265\n\u2022 Working knowledge of H.264, MPEG-2 and VP9 is good to possess\n\u2022 Software Processes, Git, Configuration Management, Test Planning and Execution\n\u2022 Exposure to multi-threaded, cache optimal designs of video codecs\n\u2022 Exposure to OpenCL based GPU development / CUDA based programming\n\u2022 Aware of Machine learning and Neural Network basics.",
        "word_count": 104
      }
    ],
    "urls": []
  },
  "rejected": false,
  "rejection_reason": null,
  "run_id": "acdc7cd0-4eb2-4587-a7b1-84232fdfd977",
  "stage3_signals": {
    "alias_found": true,
    "alias_match_roles": [
      {
        "display_name": "Video Codec Engineer",
        "matched_count": null,
        "role_id": 22,
        "score": 1.0,
        "slug": "video-codec-engineer",
        "total_count": null
      }
    ],
    "kra_match_roles": [],
    "skill_match_roles": [
      {
        "display_name": "Video Codec Engineer",
        "matched_count": 5,
        "role_id": 22,
        "score": 0.2632,
        "slug": "video-codec-engineer",
        "total_count": 19
      },
      {
        "display_name": "ML Engineer",
        "matched_count": 2,
        "role_id": 3,
        "score": 0.1053,
        "slug": "ml-engineer",
        "total_count": 19
      },
      {
        "display_name": "Backend Engineer",
        "matched_count": 2,
        "role_id": 1,
        "score": 0.1053,
        "slug": "backend-engineer",
        "total_count": 19
      },
      {
        "display_name": "ML Ops Engineer",
        "matched_count": 2,
        "role_id": 16,
        "score": 0.1053,
        "slug": "ml-ops-engineer",
        "total_count": 19
      },
      {
        "display_name": "AI Engineer",
        "matched_count": 1,
        "role_id": 13,
        "score": 0.0526,
        "slug": "ai-engineer",
        "total_count": 19
      }
    ]
  },
  "stage4_decision": {
    "alias_collision_detected": false,
    "case": "A",
    "chosen_role": {
      "display_name": "Video Codec Engineer",
      "matched_count": null,
      "role_id": 22,
      "score": 1.0,
      "slug": "video-codec-engineer",
      "total_count": null
    },
    "confidence": 0.8,
    "is_new_role": false,
    "llm2_fired": false,
    "llm2_reasoning": null,
    "new_role_display_name": null,
    "new_role_slug": null,
    "queued": false,
    "reasoning": "Stage 1 title \u0027Video Codec Engineer\u0027 (name match, sim 1.00); KRA inconclusive"
  },
  "stage5_updates": {
    "centroid_n_after": null,
    "centroid_updated": false,
    "collision_log_id": null,
    "new_kra_attached": {
      "best_kra_similarity": 0.0,
      "queue_id": 60,
      "r_and_r_preview": "The prospective candidate will be part of the Advanced Video and Research Team that designs and delivers video codec solutions for industry leaders in video technology.\n\nThe key responsibilities of th",
      "role_display_name": "Video Codec Engineer",
      "role_slug": "video-codec-engineer",
      "status": "pending"
    },
    "new_skills_attached": [
      {
        "is_primary": true,
        "queue_id": 1611,
        "role_display_name": "Video Codec Engineer",
        "role_slug": "video-codec-engineer",
        "skill_name": "x86",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 1612,
        "role_display_name": "Video Codec Engineer",
        "role_slug": "video-codec-engineer",
        "skill_name": "AVX",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 1613,
        "role_display_name": "Video Codec Engineer",
        "role_slug": "video-codec-engineer",
        "skill_name": "H.265",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 1614,
        "role_display_name": "Video Codec Engineer",
        "role_slug": "video-codec-engineer",
        "skill_name": "H.264",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 1615,
        "role_display_name": "Video Codec Engineer",
        "role_slug": "video-codec-engineer",
        "skill_name": "MPEG-2",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 1616,
        "role_display_name": "Video Codec Engineer",
        "role_slug": "video-codec-engineer",
        "skill_name": "OpenCL",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 1617,
        "role_display_name": "Video Codec Engineer",
        "role_slug": "video-codec-engineer",
        "skill_name": "CUDA",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 1618,
        "role_display_name": "Video Codec Engineer",
        "role_slug": "video-codec-engineer",
        "skill_name": "Neural Networks",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 1619,
        "role_display_name": "Video Codec Engineer",
        "role_slug": "video-codec-engineer",
        "skill_name": "Cache Optimization",
        "status": "pending"
      }
    ],
    "queue_entry_id": null,
    "v3_pipeline_triggered": false,
    "v3_role_slug": null,
    "v3_run_id": null
  }
}
API 2 — extract-details 
{
  "alias_matches": [
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 1609,
      "existing_alias_text": "C",
      "input_term": "C",
      "matched_canonical": {
        "category_id": 6,
        "display_name": "C",
        "id": 4,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "LANGUAGE",
        "slug": "c",
        "sub_category_id": 96,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 418,
      "existing_alias_text": "C++",
      "input_term": "C++",
      "matched_canonical": {
        "category_id": 6,
        "display_name": "C",
        "id": 4,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "LANGUAGE",
        "slug": "c",
        "sub_category_id": 96,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
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      "alias_persisted": false,
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      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Video Compression Standards",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "mpeg-2",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "VP9",
          "alias_type": "CANONICAL",
          "id": 2649,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 12,
        "display_name": "VP9",
        "id": 1679,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "STANDARD",
        "slug": "vp9",
        "sub_category_id": 1308,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Codec Standards and Bitstreams",
            "id": 227,
            "rationale": "Formal video codec specifications and the syntax rules that govern interoperability. Engineers use this to ensure encoded output and decoders conform across devices and ecosystems.",
            "slug": "codec-standards-and-bitstreams",
            "source": "db"
          },
          "input_skill": "VP9",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Video Codec Engineer",
              "id": 22,
              "rationale": null,
              "role_archetype": null,
              "slug": "video-codec-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "VP9",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "OpenCL",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Programming Languages",
          "skill_nature": "LANGUAGE",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "opencl",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "CUDA",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Programming Languages",
          "skill_nature": "LANGUAGE",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "cuda",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Machine Learning",
          "alias_type": "CANONICAL",
          "id": 2015,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 2,
        "display_name": "Machine Learning",
        "id": 1356,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "machine-learning",
        "sub_category_id": 1024,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "AI Governance and Model Security",
            "id": 50,
            "rationale": "Controls and documentation used to make models safer, auditable, and compliant. ML engineers use this to manage model risk, supply chain integrity, and governance requirements.",
            "slug": "ai-governance-and-model-security",
            "source": "db"
          },
          "input_skill": "Machine Learning",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "AI Engineer",
              "id": 13,
              "rationale": null,
              "role_archetype": null,
              "slug": "ai-engineer",
              "source": "db"
            },
            {
              "display_name": "ML Engineer",
              "id": 3,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-engineer",
              "source": "db"
            },
            {
              "display_name": "ML Ops Engineer",
              "id": 16,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-ops-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "React Frontend Development",
            "id": 96,
            "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
            "slug": "d_init_01",
            "source": "db"
          },
          "input_skill": "Machine Learning",
          "llm_role": null,
          "roles_from_db": []
        }
      ],
      "input_skill": "Machine Learning",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Neural Networks",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Machine Learning Frameworks",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "neural-networks",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "multithreading",
          "alias_type": "CANONICAL",
          "id": 223,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 2,
        "display_name": "multithreading",
        "id": 82,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "multithreading",
        "sub_category_id": 7,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Concurrency and Parallel Processing",
            "id": 17,
            "rationale": "Programming techniques for handling multiple requests and background work safely and efficiently. Includes synchronization, async execution, and coordination of concurrent tasks.",
            "slug": "concurrency-and-parallel-processing",
            "source": "db"
          },
          "input_skill": "Multithreading",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Backend Engineer",
              "id": 1,
              "rationale": null,
              "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
              "slug": "backend-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Multithreading",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Cache Optimization",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Performance Optimization Techniques",
          "skill_nature": "PRACTICE",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "cache-optimization",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "x86",
    "MPEG-2",
    "OpenCL",
    "CUDA",
    "Neural Networks",
    "Cache Optimization"
  ]
}
API 3 — final-role-output 
{
  "chosen_role": {
    "display_name": "Video Codec Engineer",
    "id": 22,
    "rationale": "The role aligns closely with the primary skills related to video codec development.",
    "role_archetype": null,
    "slug": "video-codec-engineer",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "C",
      "tag": "in_db"
    },
    {
      "skill": "C++",
      "tag": "in_db"
    },
    {
      "skill": "x86",
      "tag": "new"
    },
    {
      "skill": "SSE",
      "tag": "in_db"
    },
    {
      "skill": "AVX",
      "tag": "in_db"
    },
    {
      "skill": "ARM",
      "tag": "in_db"
    },
    {
      "skill": "NEON",
      "tag": "in_db"
    },
    {
      "skill": "Git",
      "tag": "in_db"
    },
    {
      "skill": "AV1",
      "tag": "in_db"
    },
    {
      "skill": "H.265",
      "tag": "in_db"
    },
    {
      "skill": "H.264",
      "tag": "in_db"
    },
    {
      "skill": "MPEG-2",
      "tag": "new"
    },
    {
      "skill": "VP9",
      "tag": "in_db"
    },
    {
      "skill": "OpenCL",
      "tag": "new"
    },
    {
      "skill": "CUDA",
      "tag": "new"
    },
    {
      "skill": "Machine Learning",
      "tag": "in_db"
    },
    {
      "skill": "Neural Networks",
      "tag": "new"
    },
    {
      "skill": "Multithreading",
      "tag": "in_db"
    },
    {
      "skill": "Cache Optimization",
      "tag": "new"
    }
  ],
  "llm_cost_api1_usd": null,
  "llm_cost_api2_usd": null,
  "llm_cost_api3_usd": null,
  "llm_cost_total_usd": null,
  "persistence": {
    "items": [
      {
        "chosen_role_id": 22,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cross-Platform App Languages",
          "id": 167,
          "rationale": "Languages used to implement shared mobile features across iOS and Android from a common codebase. This is the primary coding surface for hybrid app logic, UI behavior, and platform-specific branching.",
          "slug": "cross-platform-app-languages",
          "source": "db"
        },
        "dimension_id": 167,
        "input_skill": "C",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Hybrid Mobile Developer",
            "id": 11,
            "rationale": null,
            "role_archetype": null,
            "slug": "hybrid-mobile-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 4,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 22,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages",
          "id": 1,
          "rationale": "Primary implementation languages used to build client and server feature code. Full stack engineers need enough fluency to move across layers and implement product behavior end to end.",
          "slug": "programming-languages",
          "source": "db"
        },
        "dimension_id": 1,
        "input_skill": "C",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Backend Engineer",
            "id": 1,
            "rationale": null,
            "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
            "slug": "backend-engineer",
            "source": "db"
          },
          {
            "display_name": "Full Stack Engineer",
            "id": 15,
            "rationale": null,
            "role_archetype": null,
            "slug": "full-stack-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 4,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 22,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages for ML Systems",
          "id": 39,
          "rationale": "Languages used to build training code, inference services, evaluation jobs, and ML glue code. This is the primary implementation surface for ML engineers across experimentation and productionization.",
          "slug": "programming-languages-for-ml-systems",
          "source": "db"
        },
        "dimension_id": 39,
        "input_skill": "C",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "ML Engineer",
            "id": 3,
            "rationale": null,
            "role_archetype": null,
            "slug": "ml-engineer",
            "source": "db"
          },
          {
            "display_name": "ML Ops Engineer",
            "id": 16,
            "rationale": null,
            "role_archetype": null,
            "slug": "ml-ops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 4,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 22,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages for XR",
          "id": 97,
          "rationale": "Primary implementation languages used to build immersive client features, interaction logic, and device-specific runtime behavior. This is the core coding surface for AR/VR experiences.",
          "slug": "programming-languages-for-xr",
          "source": "db"
        },
        "dimension_id": 97,
        "input_skill": "C",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "AR/VR Engineer",
            "id": 8,
            "rationale": null,
            "role_archetype": null,
            "slug": "ar-vr-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 4,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 22,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "React Frontend Development",
          "id": 96,
          "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
          "slug": "d_init_01",
          "source": "db"
        },
        "dimension_id": 96,
        "input_skill": "C",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [],
        "skill_dimension_saved": true,
        "skill_id": 4,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 22,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Video Codec Languages and DSLs",
          "id": 225,
          "rationale": "Implementation languages and codec-specific description languages used to build compression, decoding, and transform logic. This is the primary coding surface for codec behavior and bitstream manipulation.",
          "slug": "video-codec-languages-and-dsls",
          "source": "db"
        },
        "dimension_id": 225,
        "input_skill": "C",
        "llm_role": null,
        "matched_chosen_role": true,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
        "role_dimension_saved": true,
        "roles_from_db": [
          {
            "display_name": "Video Codec Engineer",
            "id": 22,
            "rationale": null,
            "role_archetype": null,
            "slug": "video-codec-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 4,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 22,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cross-Platform App Languages",
          "id": 167,
          "rationale": "Languages used to implement shared mobile features across iOS and Android from a common codebase. This is the primary coding surface for hybrid app logic, UI behavior, and platform-specific branching.",
          "slug": "cross-platform-app-languages",
          "source": "db"
        },
        "dimension_id": 167,
        "input_skill": "C++",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Hybrid Mobile Developer",
            "id": 11,
            "rationale": null,
            "role_archetype": null,
            "slug": "hybrid-mobile-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 4,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 22,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages",
          "id": 1,
          "rationale": "Primary implementation languages used to build client and server feature code. Full stack engineers need enough fluency to move across layers and implement product behavior end to end.",
          "slug": "programming-languages",
          "source": "db"
        },
        "dimension_id": 1,
        "input_skill": "C++",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Backend Engineer",
            "id": 1,
            "rationale": null,
            "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
            "slug": "backend-engineer",
            "source": "db"
          },
          {
            "display_name": "Full Stack Engineer",
            "id": 15,
            "rationale": null,
            "role_archetype": null,
            "slug": "full-stack-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 4,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 22,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages for ML Systems",
          "id": 39,
          "rationale": "Languages used to build training code, inference services, evaluation jobs, and ML glue code. This is the primary implementation surface for ML engineers across experimentation and productionization.",
          "slug": "programming-languages-for-ml-systems",
          "source": "db"
        },
        "dimension_id": 39,
        "input_skill": "C++",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "ML Engineer",
            "id": 3,
            "rationale": null,
            "role_archetype": null,
            "slug": "ml-engineer",
            "source": "db"
          },
          {
            "display_name": "ML Ops Engineer",
            "id": 16,
            "rationale": null,
            "role_archetype": null,
            "slug": "ml-ops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 4,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 22,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages for XR",
          "id": 97,
          "rationale": "Primary implementation languages used to build immersive client features, interaction logic, and device-specific runtime behavior. This is the core coding surface for AR/VR experiences.",
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      {
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        "matched_chosen_role": true,
        "outcome_line": "Skipped \u2014 no persistable v3 meta for new skill",
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            "display_name": "Video Codec Engineer",
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}

LLM Calls

Every model call made for this run, in pipeline order. Click a card to see the model's response.

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