Role | Lead / Principal Agentic AI Engineer |
Level | Lead / Principal (Onsite Technical Lead) |
Experience | 8–10 years overall; 2+ years’ experience LLM / agentic / RAG systems |
Location | US – Onsite (preferred - Pheonix, AZ, Johnson, RI, Dallas) |
Reports to | Technical Architect / Delivery Leadership |
Leads | Onsite + offshore agentic engineering pod; primary client technical contact |
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.
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