Experience: 8-10 Years (preferred)

DOJ: Within 30 days

Job Description:

- 8–10 years in data science with robust experience designing and delivering agentic AI solutions.
- Hands-on expertise in RAG, NLQ, summarization, prompt engineering, in-context learning, and autonomous agent design.
- Strong experience building and deploying single-agent and multi-agent systems using frameworks such as LangGraph and Semantic Kernel; for a more current market ask, replace AutoGen with Microsoft Agent Framework, since AutoGen is now in maintenance mode.
- Experience integrating tools and enterprise systems through function/tool calling and MCP (Model Context Protocol) based architectures.
- Proven capability in LLM evaluation, including LLM-as-a-judge, regression testing,



quality benchmarking, hallucination reduction, and guardrail implementation.
- Experience in Pydantic AI, building production-safe AI applications with guardrails, policy controls, observability, and human-in-the-loop workflows.
- Able to work independently with client technical teams and drive solutioning with minimal oversight.
- AWS preferred, especially Amazon Bedrock, including Agents, Guardrails, and evaluation capabilities.

Pay: ₹1,040,000.00 - ₹2,470,000.00 per year

Work Location: In person

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