Ship to Production. Not to a Sandbox.
We build systems that run in real stacks for real clients. If you are tired of prototypes that never deploy, you will fit here.
Your architecture calls land.
No committee sign-off on config decisions. No layers of approval before a deploy. You own the system you build, start to finish.
The team is lean by design. Every engineer here touches production infrastructure within their first four weeks—no internal sandbox projects.
Roles posted with scope, not vibes.
ML Engineer
AI Automation Engineer
Full-Stack AI Developer
Fine-tune and deploy language models into client pipelines. You own model selection, evaluation, and the integration layer into production APIs.
Build and maintain workflow automation systems that replace manual processes. You design the agent logic, handle error states, and measure the hours saved.
Own the client-facing surface of custom AI products—dashboards, admin panels, API layers. You bridge the model output to something a human can actually use.
Scope: senior IC. Stack: Python, PyTorch, FastAPI, cloud inference.
Scope: mid–senior IC. Stack: Next.js, TypeScript, Postgres, Python.
mid–senior IC. Stack: n8n, LangChain, REST integrations.
Read your code. Measure the result.
Send us your GitHub, a quick note on what you have shipped, and the kind of problem you want to work on next. We respond within one business day.