Pipeline run
6fc0a9ec-6107-4a29-a768-1ba0b3ca2c18
Pipeline LLM cost (USD)
API 1: $0.0055
API 2: $0.0000
API 3: $0.0000
Total: $0.0055
Client output enrichment
v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA descriptionNature of work
—
Tech stack maturity
Mainstream Modern
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
1.70 / 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):
LangChain, Bedrock, DSPy
Models / concepts (×3):
Anthropic, OpenAI, RAG, vector search, hybrid search, LLM, prompt engineering, agentic, guardrails, AI, GenAI
Evidence — skills matched in JD (45)
Python
FastAPI
Django
AWS
Databricks
Azure
Terraform
CloudFormation
RAG
Agentic Workflows
Prompt Engineering
OpenAI
Anthropic
AWS Bedrock
LangChain
DSPy
Docker
Kubernetes
Unity Catalog
Git
Agile
CI/CD
API
DevOps
React
+20
Skill cluster (0 dimension groups, role-scoped)
Show KRA description ↓
Take ownership of architecture design and development of scalable and distributed software systems.
Translate business to technical requirements
Own technical execution, ensuring code quality, adherence to deadlines, and efficient resource allocation
Data driven decision making skills with focus on achieving product goals
Design, develop and deploy LLM based pipelines involving patterns like RAG, Agentic workflows,
Responsible for the complete software development lifecycle, including requirements analysis, design, coding, testing, and deployment.
Utilize AWS services/ Azure services like IAM, Monitoring, Load Balancing, Autoscaling, Database, Networking, storage, ECR, AKS, ACR etc.
Utilize Databricks capabilities, esp. Unity Catalog and be able to architect the governance layer from data all-the-way to the AI model output
Design, develop and deploy prompt and response guardrails to enable responsible AI requirements
Implement DevOps practices using tools like Docker, Kubernetes to ensure continuous integration and delivery. Develop DevOps scripts for automation and monitoring.
Collaborate with cross-functional teams, conduct code reviews, and provide guidance on software design and best practices.
Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent work experience).
Strong coding skills with proficiency in Python
Experience with API frameworks both stateless and stateful such as Fast API, Django
Proficient in cloud platforms, specifically AWS, Databricks and Azure
Proficient in Infra-as-Code, esp. focused on developing Terraform scripts and Cloudformation
Knowledge and hands-on experience with front-end development (React JS, Next JS, Tailwind CSS) preferred
Strong experience in LLM patterns like RAG, Vector DB, Hybrid Search, Agent development, Agentic workflows, prompt engineering, etc.
Strong experience with LLM APIs (Open AI, Anthropic, AWS Bedrock), SDKs (Langchain, DSPy)
Hands-on experience with DevOps tools including Docker, Kubernetes, and AWS services (Redshift, RDS, S3).
Hands-on experience with Databricks solutions including Unity Catalog.
Experience in production deployments involving thousands of users, esp with capabilities like Redis, Vector Search, etc.
Strong understanding of scalable application design principles and experience with security best practices and compliance with privacy regulations.
Good knowledge of software engineering practices like version control (GIT), DevOps (Azure DevOps preferred) and Agile or Scrum.
Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
Experience of SDLC and best practices while development
Experience with Agile methodology for continuous product development and delivery
Signals
Skill
devops-engineer
0.40
Alias
ml-engineer
1.00
KRA
ml-engineer
0.42
Status:
extract_from_jd_done
Created: 2026-05-20T16:53:20.899331Z
Updated: 2026-05-20T16:53:21.244068Z
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
No chosen role stored for this run.
Job description
About the job Below are details of open role for AI Engineer. Experience: 3+ years Budget: 1.2-1.3 LPM Location: Onsite (Noida, Pune, Bangalore) We are seeking an AI Engineer with 3+ experience in LLM/GenAI/Agentic solution development,. The ideal candidate will have strong experience working with Python, LLM solution patterns and tools (RAG, Vector DB, Agentic workflows, etc.) cloud platforms (AWS preferred, Databricks and Azure works as well), and DevOps tools. They will be responsible for designing and developing scalable LLM/Agentic solutions, architecture design, and ensuring the performance and reliability of our systems. What They Will Do Take ownership of architecture design and development of scalable and distributed software systems. Translate business to technical requirements Own technical execution, ensuring code quality, adherence to deadlines, and efficient resource allocation Data driven decision making skills with focus on achieving product goals Design, develop and deploy LLM based pipelines involving patterns like RAG, Agentic workflows, Responsible for the complete software development lifecycle, including requirements analysis, design, coding, testing, and deployment. Utilize AWS services/ Azure services like IAM, Monitoring, Load Balancing, Autoscaling, Database, Networking, storage, ECR, AKS, ACR etc. Utilize Databricks capabilities, esp. Unity Catalog and be able to architect the governance layer from data all-the-way to the AI model output Design, develop and deploy prompt and response guardrails to enable responsible AI requirements Implement DevOps practices using tools like Docker, Kubernetes to ensure continuous integration and delivery. Develop DevOps scripts for automation and monitoring. Collaborate with cross-functional teams, conduct code reviews, and provide guidance on software design and best practices. What They Will Bring Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent work experience). Strong coding skills with proficiency in Python Experience with API frameworks both stateless and stateful such as Fast API, Django Proficient in cloud platforms, specifically AWS, Databricks and Azure Proficient in Infra-as-Code, esp. focused on developing Terraform scripts and Cloudformation Knowledge and hands-on experience with front-end development (React JS, Next JS, Tailwind CSS) preferred Strong experience in LLM patterns like RAG, Vector DB, Hybrid Search, Agent development, Agentic workflows, prompt engineering, etc. Strong experience with LLM APIs (Open AI, Anthropic, AWS Bedrock), SDKs (Langchain, DSPy) Hands-on experience with DevOps tools including Docker, Kubernetes, and AWS services (Redshift, RDS, S3). Hands-on experience with Databricks solutions including Unity Catalog. Experience in production deployments involving thousands of users, esp with capabilities like Redis, Vector Search, etc. Strong understanding of scalable application design principles and experience with security best practices and compliance with privacy regulations. Good knowledge of software engineering practices like version control (GIT), DevOps (Azure DevOps preferred) and Agile or Scrum. Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. Experience of SDLC and best practices while development Experience with Agile methodology for continuous product development and delivery Skills: azure,devops,code,api,design
Skills from this JD
Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.
Python
Primary
No API 2 row (run stopped after API 1 or history missing)
FastAPI
Primary
No API 2 row (run stopped after API 1 or history missing)
Django
Primary
No API 2 row (run stopped after API 1 or history missing)
AWS
Primary
No API 2 row (run stopped after API 1 or history missing)
Databricks
Primary
No API 2 row (run stopped after API 1 or history missing)
Azure
Primary
No API 2 row (run stopped after API 1 or history missing)
Terraform
Primary
No API 2 row (run stopped after API 1 or history missing)
CloudFormation
Primary
No API 2 row (run stopped after API 1 or history missing)
React
Secondary
No API 2 row (run stopped after API 1 or history missing)
Next.js
Secondary
No API 2 row (run stopped after API 1 or history missing)
Tailwind CSS
Secondary
No API 2 row (run stopped after API 1 or history missing)
RAG
Primary
No API 2 row (run stopped after API 1 or history missing)
Agentic Workflows
Primary
No API 2 row (run stopped after API 1 or history missing)
Prompt Engineering
Primary
No API 2 row (run stopped after API 1 or history missing)
OpenAI
Primary
No API 2 row (run stopped after API 1 or history missing)
Anthropic
Primary
No API 2 row (run stopped after API 1 or history missing)
AWS Bedrock
Primary
No API 2 row (run stopped after API 1 or history missing)
LangChain
Primary
No API 2 row (run stopped after API 1 or history missing)
DSPy
Primary
No API 2 row (run stopped after API 1 or history missing)
Docker
Primary
No API 2 row (run stopped after API 1 or history missing)
Kubernetes
Primary
No API 2 row (run stopped after API 1 or history missing)
Redshift
Secondary
No API 2 row (run stopped after API 1 or history missing)
RDS
Secondary
No API 2 row (run stopped after API 1 or history missing)
S3
Secondary
No API 2 row (run stopped after API 1 or history missing)
Unity Catalog
Primary
No API 2 row (run stopped after API 1 or history missing)
Redis
Secondary
No API 2 row (run stopped after API 1 or history missing)
Vector Search
Secondary
No API 2 row (run stopped after API 1 or history missing)
Git
Primary
No API 2 row (run stopped after API 1 or history missing)
Azure DevOps
Secondary
No API 2 row (run stopped after API 1 or history missing)
Agile
Primary
No API 2 row (run stopped after API 1 or history missing)
Scrum
Secondary
No API 2 row (run stopped after API 1 or history missing)
CI/CD
Primary
No API 2 row (run stopped after API 1 or history missing)
API
Primary
No API 2 row (run stopped after API 1 or history missing)
Load Balancing
Secondary
No API 2 row (run stopped after API 1 or history missing)
Autoscaling
Secondary
No API 2 row (run stopped after API 1 or history missing)
Monitoring
Secondary
No API 2 row (run stopped after API 1 or history missing)
IAM
Secondary
No API 2 row (run stopped after API 1 or history missing)
ECR
Secondary
No API 2 row (run stopped after API 1 or history missing)
AKS
Secondary
No API 2 row (run stopped after API 1 or history missing)
ACR
Secondary
No API 2 row (run stopped after API 1 or history missing)
Vector DB
Secondary
No API 2 row (run stopped after API 1 or history missing)
Hybrid Search
Secondary
No API 2 row (run stopped after API 1 or history missing)
Agent Development
Secondary
No API 2 row (run stopped after API 1 or history missing)
DevOps
Primary
No API 2 row (run stopped after API 1 or history missing)
SDLC
Secondary
No API 2 row (run stopped after API 1 or history missing)
Library artifacts (this run)
No artifact rows for this run.
nano JD Parser — gpt-4.1-nano click to toggle
RoleAI Engineer
Experience3+ years
CTC{'max': 1.3, 'min': 1.2, 'raw': '1.2-1.3 LPM', 'period': 'monthly', 'currency': 'INR'}
DomainIT Services & Consulting
Location
Noida, India
(onsite)
JD type
pass
Show raw JSON
{
"JD_type": "pass",
"about_company": null,
"certifications": [],
"company_name": null,
"ctc": {
"currency": "INR",
"max": 1.3,
"min": 1.2,
"period": "monthly",
"raw": "1.2-1.3 LPM"
},
"domain": {
"primary": {
"aliases": [
"ITES",
"BPO"
],
"domain": "IT Services \u0026 Consulting"
},
"secondary": null
},
"education": [
{
"level": "Bachelor\u0027s",
"qualification": "BTECH/BE - Computer Science (or related)",
"raw": "Bachelor\u2019s degree in computer science, Information Technology, or a related field (or equivalent work experience).",
"requirement": "required"
}
],
"experience": {
"max": null,
"min": 3,
"raw": "3+ years"
},
"job_locations": [
{
"aliases": [
"NCR"
],
"city": "Noida",
"country": "India",
"state": null,
"work_mode": "onsite"
},
{
"aliases": [],
"city": "Pune",
"country": "India",
"state": null,
"work_mode": "onsite"
},
{
"aliases": [
"Bengaluru"
],
"city": "Bangalore",
"country": "India",
"state": "Karnataka",
"work_mode": "onsite"
}
],
"role": "AI Engineer",
"role_aliases": [
"Artificial Intelligence Engineer",
"Machine Learning Engineer",
"AI Developer"
],
"role_archetype": "Engineering",
"roles_and_responsibilities": [
{
"bullet_count": 0,
"heading": "What They Will Do",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Take ownership of architecture design",
"last_5_words": "software design and best practices."
},
"text": "Take ownership of architecture design and development of scalable and distributed software systems.\nTranslate business to technical requirements\nOwn technical execution, ensuring code quality, adherence to deadlines, and efficient resource allocation\nData driven decision making skills with focus on achieving product goals\nDesign, develop and deploy LLM based pipelines involving patterns like RAG, Agentic workflows,\nResponsible for the complete software development lifecycle, including requirements analysis, design, coding, testing, and deployment.\nUtilize AWS services/ Azure services like IAM, Monitoring, Load Balancing, Autoscaling, Database, Networking, storage, ECR, AKS, ACR etc.\nUtilize Databricks capabilities, esp. Unity Catalog and be able to architect the governance layer from data all-the-way to the AI model output\nDesign, develop and deploy prompt and response guardrails to enable responsible AI requirements\nImplement DevOps practices using tools like Docker, Kubernetes to ensure continuous integration and delivery. Develop DevOps scripts for automation and monitoring.\nCollaborate with cross-functional teams, conduct code reviews, and provide guidance on software design and best practices.",
"word_count": 218
},
{
"bullet_count": 0,
"heading": "What They Will Bring",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Bachelor\u2019s degree in computer science",
"last_5_words": "development and delivery"
},
"text": "Bachelor\u2019s degree in computer science, Information Technology, or a related field (or equivalent work experience).\nStrong coding skills with proficiency in Python\nExperience with API frameworks both stateless and stateful such as Fast API, Django\nProficient in cloud platforms, specifically AWS, Databricks and Azure\nProficient in Infra-as-Code, esp. focused on developing Terraform scripts and Cloudformation\nKnowledge and hands-on experience with front-end development (React JS, Next JS, Tailwind CSS) preferred\nStrong experience in LLM patterns like RAG, Vector DB, Hybrid Search, Agent development, Agentic workflows, prompt engineering, etc.\nStrong experience with LLM APIs (Open AI, Anthropic, AWS Bedrock), SDKs (Langchain, DSPy)\nHands-on experience with DevOps tools including Docker, Kubernetes, and AWS services (Redshift, RDS, S3).\nHands-on experience with Databricks solutions including Unity Catalog.\nExperience in production deployments involving thousands of users, esp with capabilities like Redis, Vector Search, etc.\nStrong understanding of scalable application design principles and experience with security best practices and compliance with privacy regulations.\nGood knowledge of software engineering practices like version control (GIT), DevOps (Azure DevOps preferred) and Agile or Scrum.\nStrong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.\nExperience of SDLC and best practices while development\nExperience with Agile methodology for continuous product development and delivery",
"word_count": 284
}
],
"urls": []
}
API 1 — extract-from-jd click to toggle
{
"final_skills": [
{
"is_primary": true,
"skill_name": "Python"
},
{
"is_primary": true,
"skill_name": "FastAPI"
},
{
"is_primary": true,
"skill_name": "Django"
},
{
"is_primary": true,
"skill_name": "AWS"
},
{
"is_primary": true,
"skill_name": "Databricks"
},
{
"is_primary": true,
"skill_name": "Azure"
},
{
"is_primary": true,
"skill_name": "Terraform"
},
{
"is_primary": true,
"skill_name": "CloudFormation"
},
{
"is_primary": false,
"skill_name": "React"
},
{
"is_primary": false,
"skill_name": "Next.js"
},
{
"is_primary": false,
"skill_name": "Tailwind CSS"
},
{
"is_primary": true,
"skill_name": "RAG"
},
{
"is_primary": true,
"skill_name": "Agentic Workflows"
},
{
"is_primary": true,
"skill_name": "Prompt Engineering"
},
{
"is_primary": true,
"skill_name": "OpenAI"
},
{
"is_primary": true,
"skill_name": "Anthropic"
},
{
"is_primary": true,
"skill_name": "AWS Bedrock"
},
{
"is_primary": true,
"skill_name": "LangChain"
},
{
"is_primary": true,
"skill_name": "DSPy"
},
{
"is_primary": true,
"skill_name": "Docker"
},
{
"is_primary": true,
"skill_name": "Kubernetes"
},
{
"is_primary": false,
"skill_name": "Redshift"
},
{
"is_primary": false,
"skill_name": "RDS"
},
{
"is_primary": false,
"skill_name": "S3"
},
{
"is_primary": true,
"skill_name": "Unity Catalog"
},
{
"is_primary": false,
"skill_name": "Redis"
},
{
"is_primary": false,
"skill_name": "Vector Search"
},
{
"is_primary": true,
"skill_name": "Git"
},
{
"is_primary": false,
"skill_name": "Azure DevOps"
},
{
"is_primary": true,
"skill_name": "Agile"
},
{
"is_primary": false,
"skill_name": "Scrum"
},
{
"is_primary": true,
"skill_name": "CI/CD"
},
{
"is_primary": true,
"skill_name": "API"
},
{
"is_primary": false,
"skill_name": "Load Balancing"
},
{
"is_primary": false,
"skill_name": "Autoscaling"
},
{
"is_primary": false,
"skill_name": "Monitoring"
},
{
"is_primary": false,
"skill_name": "IAM"
},
{
"is_primary": false,
"skill_name": "ECR"
},
{
"is_primary": false,
"skill_name": "AKS"
},
{
"is_primary": false,
"skill_name": "ACR"
},
{
"is_primary": false,
"skill_name": "Vector DB"
},
{
"is_primary": false,
"skill_name": "Hybrid Search"
},
{
"is_primary": false,
"skill_name": "Agent Development"
},
{
"is_primary": true,
"skill_name": "DevOps"
},
{
"is_primary": false,
"skill_name": "SDLC"
}
],
"jd_role": {
"display_name": "AI Engineer",
"rationale": null,
"role_aliases": [
"Artificial Intelligence Engineer",
"Machine Learning Engineer",
"AI Developer"
],
"role_archetype": "Engineering",
"slug": ""
},
"nano_parsed": {
"JD_type": "pass",
"about_company": null,
"certifications": [],
"company_name": null,
"ctc": {
"currency": "INR",
"max": 1.3,
"min": 1.2,
"period": "monthly",
"raw": "1.2-1.3 LPM"
},
"domain": {
"primary": {
"aliases": [
"ITES",
"BPO"
],
"domain": "IT Services \u0026 Consulting"
},
"secondary": null
},
"education": [
{
"level": "Bachelor\u0027s",
"qualification": "BTECH/BE - Computer Science (or related)",
"raw": "Bachelor\u2019s degree in computer science, Information Technology, or a related field (or equivalent work experience).",
"requirement": "required"
}
],
"experience": {
"max": null,
"min": 3,
"raw": "3+ years"
},
"job_locations": [
{
"aliases": [
"NCR"
],
"city": "Noida",
"country": "India",
"state": null,
"work_mode": "onsite"
},
{
"aliases": [],
"city": "Pune",
"country": "India",
"state": null,
"work_mode": "onsite"
},
{
"aliases": [
"Bengaluru"
],
"city": "Bangalore",
"country": "India",
"state": "Karnataka",
"work_mode": "onsite"
}
],
"role": "AI Engineer",
"role_aliases": [
"Artificial Intelligence Engineer",
"Machine Learning Engineer",
"AI Developer"
],
"role_archetype": "Engineering",
"roles_and_responsibilities": [
{
"bullet_count": 0,
"heading": "What They Will Do",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Take ownership of architecture design",
"last_5_words": "software design and best practices."
},
"text": "Take ownership of architecture design and development of scalable and distributed software systems.\nTranslate business to technical requirements\nOwn technical execution, ensuring code quality, adherence to deadlines, and efficient resource allocation\nData driven decision making skills with focus on achieving product goals\nDesign, develop and deploy LLM based pipelines involving patterns like RAG, Agentic workflows,\nResponsible for the complete software development lifecycle, including requirements analysis, design, coding, testing, and deployment.\nUtilize AWS services/ Azure services like IAM, Monitoring, Load Balancing, Autoscaling, Database, Networking, storage, ECR, AKS, ACR etc.\nUtilize Databricks capabilities, esp. Unity Catalog and be able to architect the governance layer from data all-the-way to the AI model output\nDesign, develop and deploy prompt and response guardrails to enable responsible AI requirements\nImplement DevOps practices using tools like Docker, Kubernetes to ensure continuous integration and delivery. Develop DevOps scripts for automation and monitoring.\nCollaborate with cross-functional teams, conduct code reviews, and provide guidance on software design and best practices.",
"word_count": 218
},
{
"bullet_count": 0,
"heading": "What They Will Bring",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Bachelor\u2019s degree in computer science",
"last_5_words": "development and delivery"
},
"text": "Bachelor\u2019s degree in computer science, Information Technology, or a related field (or equivalent work experience).\nStrong coding skills with proficiency in Python\nExperience with API frameworks both stateless and stateful such as Fast API, Django\nProficient in cloud platforms, specifically AWS, Databricks and Azure\nProficient in Infra-as-Code, esp. focused on developing Terraform scripts and Cloudformation\nKnowledge and hands-on experience with front-end development (React JS, Next JS, Tailwind CSS) preferred\nStrong experience in LLM patterns like RAG, Vector DB, Hybrid Search, Agent development, Agentic workflows, prompt engineering, etc.\nStrong experience with LLM APIs (Open AI, Anthropic, AWS Bedrock), SDKs (Langchain, DSPy)\nHands-on experience with DevOps tools including Docker, Kubernetes, and AWS services (Redshift, RDS, S3).\nHands-on experience with Databricks solutions including Unity Catalog.\nExperience in production deployments involving thousands of users, esp with capabilities like Redis, Vector Search, etc.\nStrong understanding of scalable application design principles and experience with security best practices and compliance with privacy regulations.\nGood knowledge of software engineering practices like version control (GIT), DevOps (Azure DevOps preferred) and Agile or Scrum.\nStrong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.\nExperience of SDLC and best practices while development\nExperience with Agile methodology for continuous product development and delivery",
"word_count": 284
}
],
"urls": []
},
"rejected": false,
"rejection_reason": null,
"run_id": "6fc0a9ec-6107-4a29-a768-1ba0b3ca2c18",
"stage3_signals": {
"alias_found": true,
"alias_match_roles": [
{
"display_name": "ML Engineer",
"matched_count": null,
"role_id": 3,
"score": 1.0,
"slug": "ml-engineer",
"total_count": null
},
{
"display_name": "AI Engineer",
"matched_count": null,
"role_id": 13,
"score": 1.0,
"slug": "ai-engineer",
"total_count": null
}
],
"kra_match_roles": [
{
"display_name": "ML Engineer",
"matched_count": null,
"role_id": 3,
"score": 0.4211,
"slug": "ml-engineer",
"total_count": null
},
{
"display_name": "DevOps Engineer",
"matched_count": null,
"role_id": 10,
"score": 0.4178,
"slug": "devops-engineer",
"total_count": null
},
{
"display_name": "AI Compliance Officer",
"matched_count": null,
"role_id": 12,
"score": 0.4154,
"slug": "ai-compliance-officer",
"total_count": null
},
{
"display_name": "Full Stack Engineer",
"matched_count": null,
"role_id": 15,
"score": 0.3595,
"slug": "full-stack-engineer",
"total_count": null
},
{
"display_name": "AI Engineer",
"matched_count": null,
"role_id": 13,
"score": 0.352,
"slug": "ai-engineer",
"total_count": null
}
],
"skill_match_roles": [
{
"display_name": "DevOps Engineer",
"matched_count": 18,
"role_id": 10,
"score": 0.4,
"slug": "devops-engineer",
"total_count": 45
},
{
"display_name": "ML Engineer",
"matched_count": 14,
"role_id": 3,
"score": 0.3111,
"slug": "ml-engineer",
"total_count": 45
},
{
"display_name": "Full Stack Engineer",
"matched_count": 14,
"role_id": 15,
"score": 0.3111,
"slug": "full-stack-engineer",
"total_count": 45
},
{
"display_name": "Backend Engineer",
"matched_count": 12,
"role_id": 1,
"score": 0.2667,
"slug": "backend-engineer",
"total_count": 45
},
{
"display_name": "ML Ops Engineer",
"matched_count": 12,
"role_id": 16,
"score": 0.2667,
"slug": "ml-ops-engineer",
"total_count": 45
}
]
},
"stage4_decision": null,
"stage5_updates": null
}
API 2 — extract-details
{}
API 3 — final-role-output
{}
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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