Pipeline run
6894c963-a16b-436b-b6b7-0b360baddb7c
Pipeline LLM cost (USD)
API 1: $0.0020
API 2: $0.0000
API 3: $0.0000
Total: $0.0020
Client output enrichment
v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
SPARSE JD
Nature of work
—
Tech stack maturity
Mainstream Modern
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.20 / 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):
Modal
Models / concepts (×3):
—
Evidence — skills matched in JD (0)
Skill cluster (0 dimension groups, role-scoped)
Show KRA description ↓
• Building software that enables integration of Alexa voice and multi-modal services into compelling applications that run on millions of Echo family devices, and Alexa-enabled Devices.
• Driving engineering best practices (e. g., Operational Excellence, Security, Quality, etc. ) and setting high standards.
• Constant focus on energy efficiency, memory efficiency to deliver consistently better products while reducing customers' cost and energy footprint.
• Taking a long-term view of architecture, proactively fixing deficiencies with constant improvement of the end product.
• Contributing to the professional development of colleagues, improving their technical knowledge and engineering practices.
• 6+ years of non-internship professional software development experience.
• 8+ years of programming with at least one software programming language experience.
• 8+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
• Experience as a mentor, tech lead or leading an engineering team.
• 8+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
• Bachelor's degree in computer science or equivalent.
Status:
completed
Created: 2026-05-20T05:27:08.945087Z
Updated: 2026-05-20T05:27:09.010867Z
API 3 duration: 28 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
—
slug: — · id: — · source: llm
Stage 1 produced no role_archetype
Resolution:
human_review_required
— role not in DB; role↔dimension links may be deferred.
0
New skills
0
Skill↔dim saved
0
Role↔dim saved
0
Skipped
Job description
Responsibilities: • Building software that enables integration of Alexa voice and multi-modal services into compelling applications that run on millions of Echo family devices, and Alexa-enabled Devices. • Driving engineering best practices (e. g., Operational Excellence, Security, Quality, etc. ) and setting high standards. • Constant focus on energy efficiency, memory efficiency to deliver consistently better products while reducing customers' cost and energy footprint. • Taking a long-term view of architecture, proactively fixing deficiencies with constant improvement of the end product. • Contributing to the professional development of colleagues, improving their technical knowledge and engineering practices. Requirements: • 6+ years of non-internship professional software development experience. • 8+ years of programming with at least one software programming language experience. • 8+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience. • Experience as a mentor, tech lead or leading an engineering team. • 8+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience. • Bachelor's degree in computer science or equivalent.
Library artifacts (this run)
No artifact rows for this run.
nano JD Parser — gpt-4.1-nano click to toggle
Experience6+ years of non-internship professional software development experience.
DomainOther
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/BSC - Computer Science (or equivalent)",
"raw": "Bachelor\u0027s degree in computer science or equivalent.",
"requirement": "required"
}
],
"experience": {
"max": null,
"min": 6,
"raw": "6+ years of non-internship professional software development experience."
},
"job_locations": [],
"role": null,
"role_aliases": [],
"role_archetype": null,
"roles_and_responsibilities": [
{
"bullet_count": 5,
"heading": "Responsibilities",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 Building software that enables",
"last_5_words": "technical knowledge and engineering practices."
},
"text": "\u2022 Building software that enables integration of Alexa voice and multi-modal services into compelling applications that run on millions of Echo family devices, and Alexa-enabled Devices.\n\u2022 Driving engineering best practices (e. g., Operational Excellence, Security, Quality, etc. ) and setting high standards.\n\u2022 Constant focus on energy efficiency, memory efficiency to deliver consistently better products while reducing customers\u0027 cost and energy footprint.\n\u2022 Taking a long-term view of architecture, proactively fixing deficiencies with constant improvement of the end product.\n\u2022 Contributing to the professional development of colleagues, improving their technical knowledge and engineering practices.",
"word_count": 102
},
{
"bullet_count": 6,
"heading": "Requirements",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 6+ years of non-internship",
"last_5_words": "degree in computer science or equivalent."
},
"text": "\u2022 6+ years of non-internship professional software development experience.\n\u2022 8+ years of programming with at least one software programming language experience.\n\u2022 8+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience.\n\u2022 Experience as a mentor, tech lead or leading an engineering team.\n\u2022 8+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.\n\u2022 Bachelor\u0027s degree in computer science or equivalent.",
"word_count": 104
}
],
"urls": []
}
API 1 — extract-from-jd click to toggle
{
"final_skills": [],
"jd_role": {
"display_name": "\u2014",
"rationale": "Stage 1 produced no role_archetype",
"role_aliases": [],
"role_archetype": "\u2014",
"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/BSC - Computer Science (or equivalent)",
"raw": "Bachelor\u0027s degree in computer science or equivalent.",
"requirement": "required"
}
],
"experience": {
"max": null,
"min": 6,
"raw": "6+ years of non-internship professional software development experience."
},
"job_locations": [],
"role": null,
"role_aliases": [],
"role_archetype": null,
"roles_and_responsibilities": [
{
"bullet_count": 5,
"heading": "Responsibilities",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 Building software that enables",
"last_5_words": "technical knowledge and engineering practices."
},
"text": "\u2022 Building software that enables integration of Alexa voice and multi-modal services into compelling applications that run on millions of Echo family devices, and Alexa-enabled Devices.\n\u2022 Driving engineering best practices (e. g., Operational Excellence, Security, Quality, etc. ) and setting high standards.\n\u2022 Constant focus on energy efficiency, memory efficiency to deliver consistently better products while reducing customers\u0027 cost and energy footprint.\n\u2022 Taking a long-term view of architecture, proactively fixing deficiencies with constant improvement of the end product.\n\u2022 Contributing to the professional development of colleagues, improving their technical knowledge and engineering practices.",
"word_count": 102
},
{
"bullet_count": 6,
"heading": "Requirements",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 6+ years of non-internship",
"last_5_words": "degree in computer science or equivalent."
},
"text": "\u2022 6+ years of non-internship professional software development experience.\n\u2022 8+ years of programming with at least one software programming language experience.\n\u2022 8+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience.\n\u2022 Experience as a mentor, tech lead or leading an engineering team.\n\u2022 8+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.\n\u2022 Bachelor\u0027s degree in computer science or equivalent.",
"word_count": 104
}
],
"urls": []
},
"rejected": true,
"rejection_reason": "Stage 1 produced no role_archetype",
"run_id": null,
"stage3_signals": null,
"stage4_decision": null,
"stage5_updates": null
}
API 2 — extract-details
{
"alias_matches": [],
"candidate_roles": [],
"chosen_role": {
"display_name": "\u2014",
"id": null,
"rationale": "Stage 1 produced no role_archetype",
"role_archetype": "\u2014",
"slug": "",
"source": "llm"
},
"dimensions": [],
"input_final_skills": [],
"input_llm_skills": [],
"new_aliases_persisted": 0,
"run_id": "6894c963-a16b-436b-b6b7-0b360baddb7c",
"skills_detail": [],
"unmatched_skills": []
}
API 3 — final-role-output
{
"chosen_role": {
"display_name": "\u2014",
"id": null,
"rationale": "Stage 1 produced no role_archetype",
"role_archetype": "\u2014",
"slug": "",
"source": "llm"
},
"chosen_role_resolution": "human_review_required",
"final_input_skills": [],
"persistence": {
"items": [],
"new_skills_created": 0,
"role_dimension_saved": 0,
"skill_dimension_saved": 0,
"skipped": 0
},
"planner_output": null,
"run_id": "6894c963-a16b-436b-b6b7-0b360baddb7c"
}
LLM Calls
Every model call made for this run, in pipeline order. Click a card to see the model's response.
Loading…