About the Role (Not accepting any interns for this role)
The Uber Agent Platform team is building the platform for AI agents that run parts of the business. As more AI agents go into production, our mission is to provide the best-in-class tools and infrastructure for creating, evaluating, debugging, and deploying high-quality, resilient multi-agent systems, rapidly, safely, and at scale.
We are looking for a strong Software Engineer to be a part of a high-velocity, high-impact team at the intersection of AI fundamentals, AI infrastructure, with an emphasis on systems design. In this role, you’ll build the foundational platform capabilities that power high-impact AI products at Uber. This includes evaluation frameworks, and automated integration and load testing embedded in CI/CD pipelines; managed services such as memory, chat history, agentic runtime environments, agent and tool registries; and streamlined developer workflows that support fast iteration from experimentation to production.
What the Candidate Will Do ----
- Build core platform capabilities that enable teams to develop, evaluate, and deploy production-grade AI agents at scale.
- Design evaluation frameworks and automated testing integrated into CI/CD pipelines to ensure agent quality, reliability, and performance.
- Develop managed platform services such as memory, chat history, and agent runtime environments that support reliable multi-agent systems.
- Create agent, tool, and skills registries that make capabilities easy to discover, reuse, and operate across teams.
- Deliver intuitive developer experiences across code-first and no-code workflows, enabling rapid iteration from experimentation to production.
---- Basic Qualifications ----
- Bachelor’s degree in Computer Science or a related field (or equivalent experience).
- Proficient in one or more of Python or Go, with a proven track record of shipping production services.
- 4+ years of software engineering experience in building scalable, high-quality systems.
- Demonstrated experience in system design, service reliability, and scalability; comfortable evaluating trade-offs for real-world systems.
- Excellent communication skills, with the ability to articulate technical decisions.
- Proficiency in using AI assistant tools to accelerate the development process, and build a strong intuition of AI capabilities.
---- Preferred Qualifications ----
- Hands-on experience with the end-to-end AI Agent development lifecycle using popular frameworks like LangChain, CrewAI, and AutoGen.
- Understanding of LLM-based systems; familiarity with prompt engineering, fine-tuning, or embedding-based retrieval frameworks; familiarity with the challenges surrounding AI Agent evaluations.
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.