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Founding Rust Engineer
UMATR
Founding Engineer – Rust / Systems
We’re supporting a stealth-stage AI startup backed by world-class investors and led by a highly technical founding team. Their mission is to transform how developers train, deploy, and optimize large language models — building the infrastructure that powers AI in the real world.
They're looking for a Founding Engineer with deep Rust experience to help architect and scale the backend systems of a next-gen LLM developer platform - focused on performance, observability, and modularity.
What You’ll Be Building
- Core backend services written in Rust for high-throughput, low-latency LLM interaction
- Infrastructure that supports dynamic in-context learning, prompt evaluation, and fine-tuning orchestration
- Scalable APIs and serverless components using AWS Lambda, ECS, and S3
- Real-time logging, metrics, and evaluation pipelines to surface model behavior and performance
- Modular systems that can evolve into an open-source foundation for the LLM infra ecosystem
Tech Stack
- Languages: Rust (heavily), TypeScript (frontend), Python (light)
- Infra: AWS (Lambda, ECS, S3), Docker, Terraform
- Datastores: MySQL, Postgres, S3
- Frontend: Svelte, Tailwind (you'll collaborate, not build here)
- LLM Integrations: OpenAI, fine-tuning, prompt chaining, eval harnesses
Why You Should Join
- Founding team impact — define the backend architecture, roadmap, and engineering culture
- Modern, open tooling — much of the platform is designed to be open-source and community-facing
- Well-capitalized — backed by elite investors with years of runway
- Mission-aligned — build the infrastructure that helps AI become more transparent, reliable, and usable