Job Description


Key Responsibilities (AI-Focused)




  • Build AI prototypes and small services that solve defined problems (e.g., text classification, summarization, routing, search, Q&A, extraction).

  • Develop and maintain data pipelines for AI use cases (collect, clean, label, transform) using approved data sources.

  • Create and iterate on LLM prompts, agent/workflow logic, and retrieval-augmented generation (RAG) patterns for internal knowledge use cases.

  • Implement evaluation methods for AI outputs (quality, groundedness, hallucination checks, latency, cost) and report results.

  • Support model lifecycle tasks: experiment tracking, versioning, basic MLOps (packaging, deployment, monitoring).

  • Assist in integrating AI components into existing applications via APIs and lightweight UI or automation....

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