Build and operate Baseten’s internal AI developer platform, including agent infrastructure, evaluation systems, developer tooling, and CI/CD integrations. The role requires 4+ years of relevant experience, strong Python or Go skills, hands-on LLM and agent-framework experience, and familiarity with Kubernetes and Docker.
Own and build the internal Capacity platform end-to-end, translating operational requirements into full-stack tooling that balances supply/demand and streamlines customer lifecycle workflows.
Senior engineer building AI training platform features like multi-node training and serverless RL. Owns full stack from API/UI to infrastructure, fine-tunes models, and collaborates with researchers. Requires 5+ years experience in software, distributed systems, and developer tools.
Architects and leads development of enterprise platform infrastructure, including self-hosted clusters, compliance solutions, and multi-cloud orchestration for AI inference. Requires 5+ years in distributed systems or Kubernetes, with enterprise security experience.
Builds and maintains core product features including CLI tools, REST APIs, and web apps to enable easy ML model deployment. Works across full stack from React to Kubernetes, collaborating with product teams on AI initiatives. Requires CS bachelor's and proficiency in Python, Go, or JavaScript.
Build and operate Baseten’s internal AI developer platform, including agent infrastructure, evaluation systems, developer tooling, and CI/CD integrations. The role requires 4+ years of relevant experience, strong Python or Go skills, hands-on LLM and agent-framework experience, and familiarity with Kubernetes and Docker.
Own and build the internal Capacity platform end-to-end, translating operational requirements into full-stack tooling that balances supply/demand and streamlines customer lifecycle workflows.
Senior engineer building AI training platform features like multi-node training and serverless RL. Owns full stack from API/UI to infrastructure, fine-tunes models, and collaborates with researchers. Requires 5+ years experience in software, distributed systems, and developer tools.
Architects and leads development of enterprise platform infrastructure, including self-hosted clusters, compliance solutions, and multi-cloud orchestration for AI inference. Requires 5+ years in distributed systems or Kubernetes, with enterprise security experience.
Builds and maintains core product features including CLI tools, REST APIs, and web apps to enable easy ML model deployment. Works across full stack from React to Kubernetes, collaborating with product teams on AI initiatives. Requires CS bachelor's and proficiency in Python, Go, or JavaScript.