About the Opportunity Join a fast-growing AI infrastructure start-up as they transition from cutting-edge research into large-scale production deployments. You'll play a key role in building the platform that powers next-generation AI workloads, working alongside an experienced engineering team tackling challenging distributed systems problems.

About the Role We're looking for a senior engineer to bridge the gap between AI research and production. You'll build the infrastructure, tooling and deployment pipelines that turn ML innovations into reliable, scalable services used by real customers.

What You'll Do Build and maintain production infrastructure for AI applications and services Develop deployment pipelines, integrations and platform tooling Help build and test an AI platform that distributes workloads across high-performance GPUs and multicore CPUs Write high-quality Python code with a strong focus on reliability and scalability Mentor engineers through code reviews and technical collaboration

What You'll Bring 7+ years of Python development experience on Linux Strong experience with distributed systems, Kubernetes, containers and CI/CD Experience owning and operating production services Passion for clean, maintainable software and system reliability Degree in Computer Science, Software Engineering or equivalent industry experience

Nice to Have Experience with cloud platforms (AWS, Azure or GCP) Exposure to AI/ML platforms or frameworks such as PyTorch or TensorFlow Experience building SaaS or large-scale platform infrastructure