Uber
Overview
About the Role Uber's AI Foundations & Developer Experience (AIFX) team
is a centralized,
cross-monorepo
group building the next generation of
agentic AI systems
to empower Uber's engineers. We design and deploy
in-house developer agents
and intelligent tooling that
unlock faster, smarter coding
- from AI-assisted IDEs to reviewing, fixing, and testing workflows. By integrating these capabilities deeply across Uber's monorepos and engineering ecosystem, we enable teams company-wide to
ship code at scale with unprecedented speed, quality, and developer delight. Team's talk at DPE
Responsibilities
Build and maintain AI developer tools—especially IDE plugins, CLIs, and SDKs
Develop and improve dev agents for code reviewing, testing, debugging, and fixing bugs
Collaborate with product engineering, and platform teams to integrate AI-based solutions and agents
Guide vendor integration and cross-team alignment across Uber's diverse engineering landscape to ensure consistent, performant DevEx solutions.
Basic Qualifications
Passion
building and scaling
developer tooling
(e.g., IDE extensions, SDKs, CI/CD integrations) in large-scale engineering environments.
Strong proficiency
in at least one major programming language (e.g.,
Java, Go, Python, or TypeScript ) with demonstrated experience integrating
AI/ML models
into developer workflows.
Knowledge of system design
for
low-latency, high-reliability services , especially in the context of
LLM-powered applications
and distributed systems.
Preferred Qualifications
Hands-on experience
developing and deploying
LLM-powered developer tools
(e.g., contextual code assistants, refactoring agents, automated test generators) in production environments.
Understanding
of the
software development lifecycle
(SDLC) and modern DevEx best practices, including integration with CI/CD pipelines, monorepos, and multi-language ecosystems.
Track record
of collaborating with
cross-functional teams
and external vendors to deliver scalable AI solutions that integrate seamlessly into developer workflows.
Familiarity with AI infrastructure
(e.g., model fine-tuning, vector databases, context engineering, evaluation frameworks)
Compensation and Benefits For San Francisco, CA-based roles: The base salary range for this role is USD$150,000 per year - USD$158,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.
Equal Opportunity Uber is proud to be an Equal Opportunity/Affirmative Action 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- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform
#J-18808-Ljbffr
About the Role Uber's AI Foundations & Developer Experience (AIFX) team
is a centralized,
cross-monorepo
group building the next generation of
agentic AI systems
to empower Uber's engineers. We design and deploy
in-house developer agents
and intelligent tooling that
unlock faster, smarter coding
- from AI-assisted IDEs to reviewing, fixing, and testing workflows. By integrating these capabilities deeply across Uber's monorepos and engineering ecosystem, we enable teams company-wide to
ship code at scale with unprecedented speed, quality, and developer delight. Team's talk at DPE
Responsibilities
Build and maintain AI developer tools—especially IDE plugins, CLIs, and SDKs
Develop and improve dev agents for code reviewing, testing, debugging, and fixing bugs
Collaborate with product engineering, and platform teams to integrate AI-based solutions and agents
Guide vendor integration and cross-team alignment across Uber's diverse engineering landscape to ensure consistent, performant DevEx solutions.
Basic Qualifications
Passion
building and scaling
developer tooling
(e.g., IDE extensions, SDKs, CI/CD integrations) in large-scale engineering environments.
Strong proficiency
in at least one major programming language (e.g.,
Java, Go, Python, or TypeScript ) with demonstrated experience integrating
AI/ML models
into developer workflows.
Knowledge of system design
for
low-latency, high-reliability services , especially in the context of
LLM-powered applications
and distributed systems.
Preferred Qualifications
Hands-on experience
developing and deploying
LLM-powered developer tools
(e.g., contextual code assistants, refactoring agents, automated test generators) in production environments.
Understanding
of the
software development lifecycle
(SDLC) and modern DevEx best practices, including integration with CI/CD pipelines, monorepos, and multi-language ecosystems.
Track record
of collaborating with
cross-functional teams
and external vendors to deliver scalable AI solutions that integrate seamlessly into developer workflows.
Familiarity with AI infrastructure
(e.g., model fine-tuning, vector databases, context engineering, evaluation frameworks)
Compensation and Benefits For San Francisco, CA-based roles: The base salary range for this role is USD$150,000 per year - USD$158,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.
Equal Opportunity Uber is proud to be an Equal Opportunity/Affirmative Action 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- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform
#J-18808-Ljbffr