The role at Databricks involves building platforms and products that support AI applications, model training, and inference at scale. You will be part of the AI Engineering organization, specifically within the FMAPI team, which focuses on serving large language models for enterprise use. The position requires a strong technical background and a product-oriented mindset to bridge execution and strategy. You will work closely with various teams to enhance the AI infrastructure and improve user experiences.

• 8+ years of experience in backend or infrastructure engineering
• Experience with distributed systems, scalable APIs, or cloud-native infrastructure
• Strong product and ownership mindset, with a focus on shipping user-facing value
• Experience with real-time serving, ML infrastructure, or GPU orchestration
• Familiarity with service-oriented architecture, deployment pipelines, and system observability
• Strong programming skills in Scala, Go, or Python

• Build LLM infrastructure powering large-scale inference workloads for customers through partner models and self-hosted models
• Shape the direction of the FMAPI product from roadmap to execution by leveraging deep customer empathy
• Improve reliability, latency, and efficiency of distributed AI workloads
• Collaborate with platform, infrastructure, and ML teams to deliver seamless end-to-end experiences
• Shape how developers and data scientists build and interact with AI on Databricks