The Challenge
We are building the runtime and registry for AI/LLM tools. You will define both how AI interacts with the world, and how humans build and manage those tools. This includes creating production-grade integrations, and the services & toolkits that run them... and the solving the unique problems of AI/LLM usage along the way. We are building a SaaS application first, and then allowing folks to run part of that infrastructure on-site via hybrid deployments.
This role is primarily focused on our back-end services, but as an early member of a startup, you'll be working up-and-down the stack. We build our software with Go, Python, and Typescript, and expect you to be a pro in at least one of those. We are looking for people who constantly ship and don't get stuck - we are looking for folks who are always learning and and able to apply that knowledge to their work and teach it to the team.
What You'll Do- Build the infrastructure to manage the backplane for all future AI tools
- Design, build, test, and deploy high-performance, secure, production-grade software.
- Develop SDKs and frameworks that make it easy for other developers to build custom tools
- Help set industry standards for tool calling and authorization (for example, we helped write the MCP authorization spec)
- Create integrations with major platforms and LLMs (Google Workspace, Microsoft 365, OpenAi, Anthropic, etc.)
- Shape the roadmap for the team
- Build leverage (via AI) - projects that take a week today should take a day next time.
- Share your work with our customers and community, building our (and your) brand.
Required Skills- An insatiable desire to ship.
- 7+ years of software engineering experience comprising of:
- 5+ years of backend development experience with either Python, Go, Ruby, Typescript, or a similar language and API & Web frameworks.
- 2+ years of experience with infrastructure and deployment (AWS/GCP, Terraform, Helm, etc)
- Strong experience building and maintaining production APIs.
- Track record of writing clean, well-documented, well-tested code.
- User-centered approach to designing developer-centric products and tools.
Bonus Points- Experience building developer tools or SDKs
- Familiarity with LLMs and AI frameworks (Langchain, LlamaIndex, etc)
- Open-source contributions
- Experience with high-scale distributed systems
- Experience leading teams and mentoring more junior developers
- Familiarity with Typescript and a relevant frontend framework (e.g. React)
- You've been a startup founder or early-state startup employee before and love it
Notes:
- This is an in-person role located in our San Francisco (SOMA) office.
If you want to look back in 5 years and say, "I helped build that", then we want to talk to you. Ready to make AI actually useful? Apply Now
