Job Description

  • Strong expertise in LLMs, Agentic AI frameworks , and prompt engineering (e.g., LangChain, AutoGen, semantic kernels).
  • Hands‑on experience building and deploying AI agents with reasoning, planning, memory, and tool usage.
  • Proficiency in Python and modern AI/ML frameworks (PyTorch, TensorFlow, Azure/OpenAI).
  • Familiarity with banking and insurance processes , data models, compliance, and risk workflows.
  • Experience with vector databases, RAG pipelines, and cloud platforms (Azure/AWS/GCP).

Good to Have

  • Experience with GenAI copilots, decision automation, and knowledge graphs.
  • Exposure to MLOps, monitoring, and responsible AI practices.

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