Overview:
As an Agentic Software Engineer, you design, build, and operate AI-powered agentic systems that transform complex Uber workflows at scale. You work closely with operators to identify high-impact opportunities and translate them into production-ready solutions. You own the full engineering lifecycle, from discovery to deployment and continuous improvement, shaping how agentic AI is applied across operations. Compensation / Benefits bonus program equity award 401(k) plan various benefits
Responsibilities:
Design and build agentic systems, including AI agents, APIs, data pipelines, and human-in-the-loop workflows Prototype and iterate with real users, turning ambiguous requirements into reliable software Own production reliability, observability, and performance across systems Develop evaluation frameworks for agent effectiveness and ensure safe, compliant AI workflows Collaborate on reusable platform components and architecture to enable scale across Uber Lead technical design and influence engineering direction across teams
Key requirements:
PhD in Computer Science, Engineering, Mathematics, or related field with 2 years of software engineering experience or 5 years of software engineering experience with 3 years in specialized technical software engineering Production backend or distributed systems design, development, and deployment experience Hands-on ownership of production systems including monitoring, incident response, and debugging Proficiency in Python, Go, Java, or C++ curiosity ownership ability to collaborate with stakeholders Agentic AI applications or LLM integration with tools and data sources Agent orchestration, evaluation frameworks, RAG, context management, model routing SRE, infrastructure, platform or production engineering experience