Staff Software Engineer, Backend - Uber AI Solutions

Staff Software Engineer, Backend - Uber AI Solutions Department: Engineering Team: Backend Location: Bangalore, India Type: Full-Time **About the Role** At Uber, our mission is to be the platform of choice for flexible earning opportunities. We are expanding this vision through **Uber AI Solutions (UAIS)**, a fast-growing team operating like a startup within Uber. We are building **foundational model data infrastructure** for the next generation of AI systems, where human intelligence and machine learning models work together to produce **Model Ready Datasets.** We are seeking a **Staff Engineer** to provide technical direction and lead platform architecture for Uber AI Solutions, a fast-growing, startup-like organization within Uber. In this role, you will own and drive the design of foundational data infrastructure that enables frontier AI systems to transition from research to production with speed, rigor, and reliability. You will build scalable platforms that integrate expert human input with machine learning to produce high-quality, model-ready datasets for multimodal and real-world AI use cases. \-\-\-\- What the Candidate Will Do ---- 1\. Architect and evolve core systems that span multiple teams, ensuring scalability, performance, and long-term maintainability of critical platform services. 2\. Provide technical leadership across teams, driving alignment on design patterns, service interfaces, and shared infrastructure investments. 3\. Mentor and develop senior engineers, elevating technical depth, decision-making, and design rigor across the broader group. 4\. Champion the adoption of AI-assisted development tools and modern engineering practices to improve code quality, reliability, and delivery speed across teams. 5\. Influence hiring and talent development, helping shape team composition and maintaining a high engineering bar across multiple teams. \-\-\-\- Basic Qualifications ---- 1\. Bachelor’s (or Master’s) degree in Computer Science, Engineering or related discipline (or equivalent experience). 2\. 8+ years of professional software engineering experience, with substan