Agentic Systems Engineer

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 systems. You do not need to be an expert, but you need to want to become one.

---- Preferred Qualifications ----

• Any hands-on experience with LLMs, AI APIs, or agent frameworks (LangGraph, Claude Code SDK, LangChain, or similar)
• Familiarity with developer tooling, CLIs, or platform infrastructure
• Exposure to large codebase workflows (monorepos, CI/CD, code review)
• Experience with MCP or LLM tool use is a strong plus

For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.