Context Trainer (Developer)

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Job Description:

THE OPPORTUNITY

Curate and govern the context layer (RAG/KBs, embeddings, metadata, labeling) to improve answer quality and minimize hallucinations, while protecting data/PII.

Responsibilities

Curation & Labeling:

• Extract and curate content from enterprise sources (Confluence, Jira, SharePoint, ServiceNow, qTest) using APIs and automation.
• Define chunking and metadata schemas; labeling guidelines; golden Q&A and evaluation sets.
• Implement chunking strategies for diverse content types (code repositories, technical documentation, tickets, test cases).
• Implement curation workflows and retention policies.
  
  

Retrieval Quality:

• Run A/B experiments across vector stores; monitor answer quality vs. cost/latency; recommend defaults.
• Analyze failure cases and propose data-driven improvements.
  
  

Data Governance:

• Enforce data minimization, retention, and access controls; maintain lineage and approvals per RAI (Responsible AI).
• Document data sources and usage for audit readiness.
  
  

Skills & Qualifications

Required:

• 3+ years data/ML experience with embeddings/retrieval expertise; strong documentation and runbook skills.
• Experience with content transformation, metadata extraction, and labeling workflows.
• Familiarity with privacy and data governance principles.
• Hands-on experience with vector stores (OpenSearch/pgvector/Kendra/Chroma) and labeling tools.
• Experience with REST APIs and data extraction from enterprise systems.
• Python coding proficiency for data pipelines and automation.
  
  

Preferred/Nice to have:

• Experience designing golden datasets and evaluation pipelines.
• AWS Bedrock Knowledge Bases experience.
• Familiarity with software development lifecycle and technical documentation patterns.
  
  

Locations:

IND - Bengaluru

Worker Type:

Employee

Worker Sub-Type:

Regular

Time Type:

Full time