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