Software Engineer II - Backend

About The Role The AI Experience team is Uber's engine for internal innovation, tasked with a clear and ambitious mission: to revolutionize how our employees work. We are a pragmatic team of builders and integrators, passionate about applying the latest advancements in AI to solve high-impact business problems. We develop our own first-party solutions, such as our "Sage" conversational assistants, while also identifying and integrating industry-leading AI platforms to ensure our teams have access to the absolute best tools to be productive and effective.

What The Candidate Will Need / Bonus Points ---- What the Candidate Will Do ----

• Design and implement scalable backend microservices and APIs (primarily in Go/Java/Python) that power core search and conversational AI functionalities.
• Develop and maintain robust data ingestion pipelines and integration layers to connect with diverse internal knowledge sources/third party MCPs
• Implement key components of the conversational AI stack, including supporting Retrieval-Augmented Generation (RAG) pipelines, searches, MCPs development and integrations
• Write high-quality, well-tested, and maintainable code for critical system components and participate in code reviews.
• Collaborate with senior engineers to implement and optimize core search algorithms, ranking models, and retrieval strategies.
• Troubleshoot and resolve production issues and participate in the team's on-call rotation.
• Participate in design discussions and sprint planning, taking ownership of the product features from conception to deployment.

Basic Qualifications

• 2+ years of professional backend engineering experience.
• Proficiency in a modern backend language (e.g., Go, Java, or Python).
• Experience building, deploying, and scaling microservices and REST APIs.
• Solid foundation in system design, data structures, and algorithms.
• Proven ability to write high-quality, well-tested, and maintainable code.
• Experience with production operations, including monitoring, debugging, and on-call rotations.
• Strong problem-solving skills and the ability to work collaboratively in a team.

Preferred Qualifications

• Familiarity with AI/ML concepts, such as conversational AI, Retrieval-Augmented Generation (RAG).
• Experience with search platforms (like Elasticsearch) or vector databases (like Weaviate, Pinecone).