Staff Software Engineer - AI Developer Platform (AIFX)

About the Role
As a Staff Software Engineer on Uber's AI Foundations & Developer Experience (AIFX) team, you will set technical direction across multiple AIFX projects and lead efforts that reach engineering teams across Uber. You'll help define how AI agents plan, build, review, verify, and ship software at Uber, and turn that vision into platforms thousands of engineers depend on. You'll make long-term architectural bets in a space where models and agent harnesses change month to month, while keeping today's systems reliable.
About the Team
Uber's AI Foundations & Developer Experience (AIFX) team, part of Developer Platform, is a centralized, cross-monorepo team building the next generation of agentic AI systems for Uber's engineers. We design and run in-house developer agents and AI-first tooling, and we integrate them deeply across Uber's monorepos (Go, Java, Python, web, and mobile) and its engineering ecosystem. Our goal: help teams across the company ship code at scale with more speed, better quality, and less toil.
What we own today:
AIFX CLI & agent harness layer: a single way for engineers to install, configure, and run AI coding agents (Claude Code, Codex, OpenCode, and others) with consistent settings, plugins, skills, and MCP servers across laptops, devpods, and CI.
Background coding agents (Minion): a platform that runs autonomous coding tasks at scale, from bug fixes and migrations to CI repair, and turns them into reviewable pull requests.
AI code review (uReview): LLM-powered review on code changes across Uber's monorepos, with team-level customization.
Agent governance & cost controls: model routing, spend caps, usage analytics, and evaluation, so that AI adoption stays reliable, secure, and cost-efficient.
We work closely with Developer Platform partners (CI, Submit Queue, DevPod, IDE), Michelangelo (ML platform), Security, and product engineering teams. We also work with frontier model providers. Our team has presented its work externally at multiple conferences, including at DPE Summit.
What the Candidate Will Do
Set technical direction for the AIFX software factory: lead the evolution of a software factory where durable, multi-day agent workflows orchestrate planning, coding, review, and verification to turn a spec into a verified, landable change.