Lead Applied AI Engineer
Core
Design, implement, and deploy end-to-end AI workflows and agents that solve real problems across multiple business domains.
Role type
Lead Applied AI Engineer (hands-on IC with mentorship)
Builds
Open source reference agents (e.g., Open SWE, Open Canvas, Deep Research) and internal agents for GTM and engineering workflows
Domain
Applied AI / Agent Engineering / LLM Systems
Deliverable
production ML models | product features
Required skills
LLM-powered application development, agent architecture design, evaluation pipeline implementation, Python, TypeScript, system orchestration, model selection
Preferred skills
LangChain/LangGraph expertise, open source project maintenance
Technologies
Python, TypeScript, LangChain, LangGraph
Responsibilities
Design and deploy end-to-end AI workflows; develop agent architectures and evaluation pipelines; set technical bar for code quality and testing; mentor engineers; translate stakeholder requirements into technical plans; identify tooling gaps; collaborate cross-functionally on automation opportunities
Seniority
Senior, hands-on IC with leadership