Software Engineer II - Backend

Actively Reviewing the Applications

Uber

India, Karnataka, Bengaluru Full-Time On-site INR 1–4 LPA

Posted 5 days ago • Apply by June 15, 2026

Job Description

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).