GenAI Engineer / Agentic AI Engineer

Required Skills & Experience

• 5–10 years total experience, with 2–4+ years hands-on GenAI.
• Hands-on expertise with:
• LangChain, LangGraph
• LangSmith (tracing, metrics, evaluations)
• MCP tooling and agent tool integration
• ReAct, Tree of Thoughts, multi-agent orchestration
• RAG patterns and vector databases
• Strong coding expertise in Python.
• Classical ML foundations (tree models, regression, etc.).
• Experience working with LLM APIs and/or open-source LLMs.
• Experience building and debugging production-quality GenAI pipelines.
• Aws/azure
• GIT Ops
• Prior experience building complex multi-agent systems for real-world applications.
• Knowledge of multi-modal LLMs (vision, speech, code).
• Familiarity with structured evaluation of LLM systems (hallucination tests, safety assessments etc ).
• Experience in enterprise-grade LLM deployments.