Lead AI Engineer - Agentic Engineering
Core
Lead AI Engineer responsible for building production-grade agentic AI systems and integrating Agentic Engineering practices into the Software Development Lifecycle (SDLC) to automate engineering workflows.
Role type
Senior IC Lead AI Engineer (Agentic Engineering)
Builds
Production-grade multi-agent systems, AI-assisted development workflows, and agentic engineering platforms.
Domain
AI Engineering / Software Development Lifecycle / Agentic Systems
Deliverable
production ML models | product features
Required skills
Python, backend/API development, agent orchestration, tool calling, RAG, multi-agent architectures, evaluation frameworks (Evals), system design, CI/CD, cloud platforms
Preferred skills
MCP (Model Context Protocol), LangGraph, LangChain, CrewAI, AutoGen, Google ADK, LLM observability, Kubernetes, Docker, distributed systems
Technologies
Python, FastAPI, Docker, Kubernetes, AWS, Azure, GCP, LangGraph, LangChain, CrewAI, AutoGen, Google ADK, Claude Code, PI, Hermes Agent, Langfuse, Arize Phoenix, OpenTelemetry
Responsibilities
Architect and develop multi-agent systems for complex tasks; establish best practices for context engineering, tool use, and agent orchestration; design and implement evaluation frameworks for agent correctness and reliability; mentor engineers on AI engineering and agentic architectures; integrate agents with APIs, databases, and enterprise systems; prototype emerging agentic coding tools and transition them to production.
Seniority
Senior, hands-on IC with leadership responsibilities