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Context Trainer (Developer)

応募 後で応募 求人ID R0174415 掲載日 02/26/2026 Location:Bengaluru, India

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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).

  • Implementcurationworkflows and retention policies.

Retrieval Quality

  • Run A/B experiments across vector stores;monitoranswer quality vs. cost/latency; recommend defaults.

  • Analyze failure cases and propose data-driven improvements.

Data Governance

  • Enforce data minimization, retention, and access controls;maintainlineage and approvals per RAI (Responsible AI).

  • Document data sources and usage for audit readiness.

SKILLS & QUALIFICATIONS

Required

  • 3+yearsdata/ML experience with embeddings/retrievalexpertise; 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 codingproficiencyfor 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
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