Lead Principal Agentic Engineer

About the Role

Must-Have Skills

• 8–10 years software engineering, with 3+ years architecting and shipping LLM / GenAI / agentic systems in production.

• Deep RAG experience: you''ve designed retrieval systems at scale — chunking and indexing strategy, embedding-model selection, hybrid/semantic retrieval, re-ranking, evaluation — and know the failure modes cold.

• MCP & connector experience: proven design of tool-calling / connector frameworks; able to define a reusable, config-driven onboarding pattern for heterogeneous internal and external sources.

• Multi-agent orchestration: expert with LangGraph / Google ADK / equivalent; you can reason about agent topology, state, retries, determinism, and where NOT to use an agent.

• Strong Python + FastAPI for production services; solid grasp of Java/Spring Boot and PostgreSQL to lead integration across a polyglot stack.

• LLM evaluation, guardrails, prompt strategy, and hallucination control as first-class engineering disciplines — not afterthoughts.

• Demonstrated technical leadership: led engineering pods, set standards, mentored seniors, and leading the client/stakeholder relationship.

• Experience delivering in regulated / security-constrained environments: audit, PII, SSO/RBAC, model governance.

• Excellent executive-level communication — you''ll be the technical voice in the room with the client.