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....