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
Robust 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.