Overview
On Site
USD 150,000.00 - 158,000.00 per year
Full Time
Skills
Team Building
Testing
Debugging
Product Engineering
IDE
Java
Python
TypeScript
Machine Learning (ML)
Systems Design
Code Refactoring
Automated Testing
Software Development
Software Development Methodology
Continuous Integration
Continuous Delivery
Workflow
Artificial Intelligence
Vector Databases
Evaluation
Law
Legal
Collaboration
Job Details
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]( source=chatgpt.com)
What the Candidate Will Do
1. Build and maintain AI developer tools-especially IDE plugins, CLIs, and SDKs
2. Develop and improve dev agents for code reviewing, testing, debugging, and fixing bugs
3. Collaborate with product engineering, and platform teams to integrate AI-based solutions and agents
4. Guide vendor integration and cross-team alignment across Uber's diverse engineering landscape to ensure consistent, performant DevEx solutions.
Basic Qualifications
1. Passion building and scaling developer tooling (e.g., IDE extensions, SDKs, CI/CD integrations) in large-scale engineering environments.
2. 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.
3. Knowledge of system design for low-latency, high-reliability services, especially in the context of LLM-powered applications and distributed systems.
Preferred Qualifications
1. Hands-on experience developing and deploying LLM-powered developer tools (e.g., contextual code assistants, refactoring agents, automated test generators) in production environments.
2. Understanding of the software development lifecycle (SDLC) and modern DevEx best practices, including integration with CI/CD pipelines, monorepos, and multi-language ecosystems.
3. Track record of collaborating with cross-functional teams and external vendors to deliver scalable AI solutions that integrate seamlessly into developer workflows.
4. Familiarity with AI infrastructure (e.g., model fine-tuning, vector databases, context engineering, evaluation frameworks)
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 [](;br>
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](;br>
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.
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]( source=chatgpt.com)
What the Candidate Will Do
1. Build and maintain AI developer tools-especially IDE plugins, CLIs, and SDKs
2. Develop and improve dev agents for code reviewing, testing, debugging, and fixing bugs
3. Collaborate with product engineering, and platform teams to integrate AI-based solutions and agents
4. Guide vendor integration and cross-team alignment across Uber's diverse engineering landscape to ensure consistent, performant DevEx solutions.
Basic Qualifications
1. Passion building and scaling developer tooling (e.g., IDE extensions, SDKs, CI/CD integrations) in large-scale engineering environments.
2. 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.
3. Knowledge of system design for low-latency, high-reliability services, especially in the context of LLM-powered applications and distributed systems.
Preferred Qualifications
1. Hands-on experience developing and deploying LLM-powered developer tools (e.g., contextual code assistants, refactoring agents, automated test generators) in production environments.
2. Understanding of the software development lifecycle (SDLC) and modern DevEx best practices, including integration with CI/CD pipelines, monorepos, and multi-language ecosystems.
3. Track record of collaborating with cross-functional teams and external vendors to deliver scalable AI solutions that integrate seamlessly into developer workflows.
4. Familiarity with AI infrastructure (e.g., model fine-tuning, vector databases, context engineering, evaluation frameworks)
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 [](;br>
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](;br>
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.