Founding Engineer

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.

A generous TC package with significant equity.

Our stack

We Running a Pragmatic Micro-service Architecture

• Kubernetes
• Core LLM gateway in Go
• Auxiliary and ML/AI services in Python
• Different SQL DBs + Distributed caches
  
  

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 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 and you've used it before
• 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