Software engineer, agents (UK)
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You'll build AI-assisted development tooling and platforms to help engineers code faster and safer, working on standardizing AI tools like Claude Code and Cursor, securing agent sandboxes, and optimizing individual workflows. This requires a bachelor's degree or equivalent experience with productivity tools for large codebases, plus hands-on expertise with containers, CI/CD systems, and AI coding tools. Based in San Francisco, $300,000–$350,000 annually.
Written from this posting by Neural Jobs AI. The full description is below.
The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it.
We are hiring a developer productivity engineer to advance how we build software internally: safely, quickly, and with delight. The main focus are AI tools and coding agents. You’ll partner with platform, security, and product engineers to build state-of-the-art tooling for AI-assisted software development, and make our inner loop dramatically faster.
The scope of this role includes both setting up company-wide platforms and working with developers to accelerate their individual workflows.
Enable our researchers and engineers to leverage AI to improve coding productivity without compromising code quality
Standardize AI coding tools, such as Claude Code, Cursor, and Codex. You will help configure, harden, and maintain the best tools, integrating org-wide configurations with individual preferences.
Build secure, reproducible agent sandboxes for remote dev & CI testing.
Set up golden-path dev environments and guardrails for secrets/PII.
Help individual contributors develop their personalized AI-enabled workflow.
Track tool usage, reliability, and cost.
Minimum qualifications:
Bachelor’s degree or equivalent industry experience in computer science, engineering, or similar.
Experience developing productivity tools and best practices for large codebases.
Ability to communicate clearly and work with researchers to build and manage a variety of internal tools.
Preferred qualifications:
Hands-on experience with container platforms (e.g. Docker/Kubernetes), modern CI (GitHub Actions/Buildkite), and package management tools (uv).
Practical experience with AI coding tools and model APIs (e.g. OSS via vLLM / SGLang / TGI).
Solid Linux/networking fundamentals; comfort with secrets management and safe egress.
Proficiency in systems programming languages (e.g. Rust) and scripting languages (e.g. Python).
Location: This role is based in San Francisco, California.
Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $300,000 - $350,000 USD.
Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.
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Thinking Machines Lab is an AI research and product company developing advanced models and tools that can adapt to individual needs. Its work focuses on making powerful AI more understandable, customizable, multimodal, and useful for collaboration with people. The company combines frontier research with products for model use and customization, including tools that let developers work with open-weight models. Thinking Machines Lab states a broader goal of giving more people access to the knowledge and capabilities required to shape AI for their own applications.
718 more Software Engineer roles in San Francisco
152K – 310K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 277 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
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