Uber · San Francisco, CA, United States
Skills: Python, Java
About the Role
Agentic Pods is pioneering a new way for Engineering to partner with teams across Uber and transform how work gets done through AI. Our engineers embed directly with operational teams to understand complex workflows, reimagine what's possible with agentic AI, and build production-grade systems that turn those opportunities into reality.
We are looking for an Agentic Software Engineer to design, build, and operate intelligent, reliable agentic systems that transform complex operational workflows at scale.
This role sits at the intersection of backend engineering, production reliability, and applied AI, combining deep technical ownership with a forward-deployed engineering approach. You'll work closely with operators and domain experts to identify high-impact opportunities, determine where AI agents can safely and effectively improve workflows, and translate ambiguous business challenges into scalable, production-ready solutions.
You'll own the full engineering lifecycle, from problem discovery and system architecture to implementation, deployment, and continuous improvement. This is an opportunity to shape how Uber applies agentic AI to real-world operations while helping establish the technical foundations for broader adoption across the company.
What You'll Do
Design and Build Agentic Systems
Partner directly with operational teams to understand complex workflows, identify inefficiencies, and determine where AI agents, traditional automation, or human decision-making can deliver meaningful improvements. Design, develop, and deploy production-grade agentic systems, including AI agents, reusable skills, backend services, APIs, system integrations, data pipelines, and human-in-the-loop workflows. Rapidly prototype, validate, and iterate on solutions with real users, translating ambiguous requirements into reliable, scalable software.
Own Production Reliability and Performance
Design systems with reliability, scalability, a …truncated… nd influence engineering di…
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