About the job
At Thinking Machines Lab, our mission is to enhance human potential through the advancement of collaborative general intelligence. We aspire to create a future where everyone can harness the knowledge and tools necessary to utilize AI for their unique objectives.
We are a diverse team of scientists, engineers, and builders, responsible for developing some of the most utilized AI products, including ChatGPT and Character.ai, alongside open-weight models like Mistral. Our contributions extend to popular open-source projects such as PyTorch, OpenAI Gym, Fairseq, and Segment Anything.
About the Role
We are in search of a Developer Productivity Engineer who will play a pivotal role in transforming our software development process to be safer, faster, and more enjoyable. Your primary focus will be on AI tools and coding agents, collaborating closely with platform, security, and product engineers to craft state-of-the-art tools for AI-assisted software development, significantly speeding up our internal processes.
This role encompasses establishing company-wide platforms and working directly with developers to enhance their individual workflows.
Note: This is an evergreen role that remains open for ongoing interest. While we receive numerous applications, there may not always be an immediate match for your skills and experience. We encourage you to apply as we continuously review submissions and reach out as new opportunities arise. You are welcome to reapply after gaining more experience, but please refrain from applying more than once every six months. Occasionally, we post specific roles for targeted projects or teams; in those cases, feel free to apply directly alongside this evergreen listing.
What You’ll Do
- Empower researchers and engineers to leverage AI for improved coding productivity while maintaining high code quality.
- Standardize AI coding tools such as Claude Code, Cursor, and Codex, helping to configure, secure, and maintain these tools while balancing organization-wide settings with individual developer preferences.
- Create secure, reproducible agent sandboxes for remote development and continuous integration testing.
- Establish golden-path development environments and safeguard measures for sensitive information.
- Assist individual contributors in crafting their personalized AI-enabled workflows.
- Monitor tool usage, reliability, and cost.

