Lead AI Engineer
Core
Lead technical design and implementation of agentic AI products, defining patterns from prototype to production.
Role type
Senior IC Lead AI Engineer (Agentic Systems)
Builds
Agentic AI products, RAG services, tool integrations, and model orchestration pipelines
Domain
Enterprise AI, Agentic Systems, LLM Orchestration
Deliverable
production ML models | product features
Required skills
Python, API engineering, agent frameworks (LangChain, LangGraph, AutoGen, CrewAI), RAG, embeddings, vector stores, distributed systems, evaluation suite design, CI/CD, containerized deployment
Preferred skills
Graph-based orchestration, code-first patterns, MCP-compatible tools, automated observability, secure coding
Technologies
LangChain, LangGraph, Microsoft Agent Framework, Semantic Kernel, OpenAI Agents SDK, AutoGen, CrewAI, LangSmith, MLflow, Langfuse, OpenTelemetry, Azure AI, pytest, REST, GraphQL
Responsibilities
Lead technical design and implementation of agents and RAG services; Establish coding, testing, and evaluation standards; Decompose architecture and guide sprint planning; Coach engineers and resolve complex technical problems; Design evaluation suites for quality, safety, and latency; Harden solutions for production with MLOps
Seniority
Senior, hands-on IC with leadership
