Senior Applied AI Engineer

What You'll Do

• Build production backend services in Python — APIs, data services, and the glue between our compute layer and the products customers use
• Work across the stack as needed — touch whatever part of the system the problem requires, from service code to data pipelines to integration layers
• Ship iteratively against real customer needs — work directly with data products, science, and customer-facing teams to turn requirements into working systems
• Own what you build — take responsibility for reliability, performance, and evolution of the services you stand up
• Raise the bar for how we engineer — contribute to code quality, technical direction, and mentorship of earlier-career engineers

What We're Looking For

Must-have

• 5+ years of backend software engineering experience in production environments
• Strong Python fundamentals and experience building and operating backend services
• Demonstrated ability to work across adjacent parts of a stack (data, infrastructure, APIs) rather than staying in a narrow lane
• Track record of shipping in fast-moving, ambiguous environments
• Clear written and verbal communication — you can articulate tradeoffs, explain decisions, and collaborate across functions

Should-have

• Experience designing and operating distributed systems
• Comfort with performance-sensitive code and systems where latency and throughput matter
• Exposure to data-intensive applications — pipelines, storage systems, or analytical workloads

Nice-to-have

• GPU or accelerator-adjacent engineering experience
• Background in high-scale or high-performance computing environments
• Experience partnering closely with applied science or research teams
• Familiarity with causal inference or graph-based systems