Build and maintain full-stack infrastructure for Self-Driving Labs, including laboratory integrations, backend services, responsive user interfaces, and AI-driven scientific workflows. Develop maintainable, performant software using TypeScript and Python, collaborate through code reviews, interpret complex problems, and deliver product updates. The role involves working with distributed systems, cloud infrastructure, automation, experimental data, and durable laboratory workflows in a collaborative hybrid environment.

Atinary Technologies is accepting spontaneous applications from junior to senior professionals interested in AI-powered self-driving laboratories. Potential profiles include ML engineers, researchers, scientists, MLOps and DevOps engineers, software and full-stack developers, and data scientists. Candidates may work at the intersection of machine learning, robotics, cloud computing, and scientific R&D across pharmaceuticals, biotechnology, chemicals, food, and energy.

Build and maintain infrastructure and workflows for machine learning and AI systems. Responsibilities include developing CI/CD pipelines, managing AWS cloud infrastructure, automating provisioning and deployments with Infrastructure as Code, implementing monitoring and observability, troubleshooting production issues, optimizing performance, and supporting infrastructure security and compliance.