About the role
What we are building
We are building the LLM platform that will power tomorrow's AI-first companies.
A single platform that allows any LLM user to integrate, scale, secure and optimize their LLM inference across 200+ providers in a few clicks.
A highly scalable, reliable and secure infra that exposes simple, OpenAI-compatible APIs, that every product or tool can use. The API allows you to access any of the LLM providers, taking care of API compatibility while adding telemetry, analytics, load balancing, MCP integrations, prompt management, data loss protection and much more out of the box.
Why join us
You want to build a novel infra product that will be the backbone for the best AI products, and power the next AI coding assistants, agent orchestration systems or any other AI-based solution.
Work directly with the founders to influence the company's direction and make a tangible impact. If you're looking to build your own startup someday or want to thrive in the dynamic environment of a fast-growing company, this is the ideal place to accelerate your impact and growth.
Our stack
We running a pragmatic micro-service architecture:
- Kubernetes
- Different DBs: Postgres, Clickhouse, Redis, etc.
- Backend services in Go
- Frontend in React
You should expect this list to evolve. And most probably, you will be the one redefining and building it.
What we are looking for
You understand what real ownership is, and you are looking to become a critical part of a core team
You have 5+ years of experience building backend services using a compiled language (preferably Golang)
- You can discuss best practices in the language and frameworks you've used before
- You understand concurrency
- You've used different types of caches and databases and know how to choose and use them correctly
You can design both scalable and pragmatic architectures, depending on the product's stage and actual needs
You understand tradeoffs between quality, speed and completeness, and know that building a minimal product is not the same as building a broken one
You've learnt new technologies by yourself in the past, and you are eager to do so again
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