Staff AI Engineer
Core
Architect and own the system that turns agentic development from a power-user capability into the daily workflow for hundreds of engineers across iOS, Android, backend, and AI services.
Role type
Staff AI Engineer (Agentic Development & Infrastructure)
Builds
The end-to-end agentic pipeline for software development, including spec intake, planning, implementation, review, testing, CI/CD, release, and observability.
Domain
Software Engineering / AI Infrastructure / Developer Productivity
Deliverable
production ML models
Required skills
Agent orchestration, context management, tool calling, LLM evaluation, distributed systems, concurrency, mobile domain expertise, security and privacy design
Preferred skills
MCP servers, sub-agent orchestration, headless runs, sandboxed execution, developer productivity metrics (DORA, SPACE), digital health domain experience
Technologies
LLMs, CI/CD pipelines, cloud sandbox fleets, tracing, dashboards
Responsibilities
Set technical direction for the agentic pipeline architecture; close the loop across the SDLC with automated review and repair; prototype and harden new workflows; run AI in production with proper evals and guardrails; lead AI-native engineering by example; drive adoption with engineering squads; partner cross-functionally on trade-offs.
Seniority
Staff, hands-on IC with strategic scope
