Agentic Systems Engineer
UberSan Francisco, United StatesPosted 21 March 2026
Job Description
Agentic Systems Engineer
Department: Engineering
Team: Systems Engineering
Location: San Francisco, United States
Type: Full-Time
**About the Role**
We are looking for a Agentic Systems Engineer for Uber's Developer Platform. This team is in the middle of a paradigm shift. The industry moved from text editors to IDEs. We're now moving from
IDEs to Agentic Dev Environments (ADEs), where AI agents are first-class participants in the software development lifecycle.
The AI Foundations & Developer Experience (AIFX) team is building the infrastructure that makes this shift real.
We own:
- The agent runtime. Claude Code and Minions, our background agent orchestration system for autonomous code generation.
- The MCP platform layer. Giving agents structured access to Uber's tools, data, and developer lifecycle.
- The Skill Marketplace. Encoding tribal knowledge into loadable, composable expertise so any engineer can be instantly productive in any monorepo.
- This is an opportunity to work on infrastructure that is genuinely new. You will be learning and building at the same time, with senior engineers who can help you grow.
**What the Candidate Will Need / Bonus Points**
\-\-\-\- What the Candidate Will Do ----
- Contribute to one or more of our core systems: skill packs, the MCP platform layer, the multi-agent runtime in DevPods, or AI-powered code intelligence.
- Write and ship production code with guidance from senior and staff engineers. Code quality, testing, and observability are part of the job from day one.
- Learn how agentic systems work in practice. Understand context engineering, tool use, and multi-agent orchestration by building them.
- Work across teams as features require. Collaboration with Code Infra, DevPod, and platform teams is part of the day-to-day.
\-\-\-\- Basic Qualifications ----
- Proficiency in at least one major programming language (Go, Java, Swift, Kotlin, Python, or TypeScript)
- 2+ years of professional engineering experience
- Foundational understanding of software engineering: data structures, APIs, system design basics
- Curiosity about AI and agentic syst
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