Lead AI Engineer - Agentic Engineering
Core
Lead AI Engineer building production-grade Agentic AI systems and integrating AI agents into the Software Development Lifecycle (SDLC) to automate engineering workflows.
Role type
Senior IC Agentic AI Engineer / Technical Lead
Builds
Multi-agent systems, AI-assisted development workflows, production LLM applications, and engineering toolchains
Domain
AI Engineering, Software Development Lifecycle (SDLC), Agentic Systems
Deliverable
production ML models
Required skills
Agentic Engineering, Agent Orchestration, LLM Application Development, Python, System Design, AI Evaluation (Evals), Cloud Infrastructure, API Design, CI/CD, Context Engineering, Tool Use, Multi-agent Architecture
Preferred skills
MCP (Model Context Protocol), AI Coding Agents (Claude Code, PI, Hermes), LLM Observability, Distributed Systems, Client-facing Consulting
Technologies
Python, FastAPI, Docker, Kubernetes, LangGraph, LangChain, CrewAI, AutoGen, Google ADK, AWS, Azure, GCP, Langfuse, Arize Phoenix, OpenTelemetry
Responsibilities
Architect and develop multi-agent systems for complex tasks; Drive adoption of Agentic Engineering practices across the SDLC; Build AI-assisted workflows for code generation, testing, and debugging; Establish evaluation frameworks (Evals) for agent correctness and reliability; Mentor engineers on AI engineering and agentic architectures; Design agent workflows with planning, reasoning, and error recovery.
Seniority
Senior, hands-on IC with technical leadership
