Lead AI Native Engineer
Core
Build vertical agents and a shared agent foundation for Physical AI-powered Robo-Labor robots operating in demanding industrial environments.
Role type
Lead AI Native Engineer (hands-on IC with technical leadership)
Builds
Vertical agents for high-value workflows and reusable agent primitives (models, tools, orchestration, memory, retrieval)
Domain
Robotics / Industrial Automation / Applied AI
Deliverable
production ML models
Required skills
Frontier model APIs, tool use, orchestration, context engineering, retrieval, memory, multi-step workflows, evaluation frameworks, observability, production failure analysis, AI-native development workflows (Claude Code, Codex, Cursor, agent SDKs), zero-to-one technical judgment
Preferred skills
Post-training, model evaluation, inference, research infrastructure, MCP infrastructure, knowledge graphs, RAG, secure enterprise integrations, robotics, autonomous systems, industrial automation
Technologies
Claude Code, Codex, Cursor, agent SDKs, MCP servers, APIs, pipelines
Responsibilities
Build end-to-end vertical agents for research, software, hardware, data, and operations; Establish reusable agent primitives; Create context layers connecting agents to trusted data; Own evaluation, reliability, and failure-analysis loops; Advance frontier agent usage by turning capabilities into maintainable systems; Support strategic initiatives for market intelligence and executive decisions; Provide technical leadership by setting architecture and reviewing code
Seniority
Senior, hands-on IC
