Founding Software Engineer
About Olive
We’re building the fastest way for companies to create internal tools—just by describing what they need in natural language.
From sales dashboards to trust & safety workflows, internal tools are the operational backbone at modern companies. But building them is still slow, repetitive, and a drain on engineering time.
We’re changing that. Olive takes a prompt and creates full-stack, functional internal tools connected to company data in minutes. Our platform leverages LLMs and code generation to create rich, production-grade tools that unlock new levels of insight and execution.
We’ve raised a $2.1M seed round from incredible investors and angels and are now scaling our team.
This is an opportunity to build something difficult but game-changing, with speed and immense focus. If that excites you, please apply.
The Job
We’re looking for a founding engineer who is incredibly technical, scrappy, and excited to push the limits of robust full-stack software creation with AI. We’re a small team and super excited about what we’re building.
You will:
Ship fast, building on top of LLMs and creating agentic workflows to handle code generation, deployment, tool usage, and more for enterprise use cases
Create end-to-end features across our stack: React (Vite + Tanstack) frontend, Node.js backend (tRPC), Postgres database
Help us build a world-class engineering culture prioritizing curiosity, quality, and speed
Craft delightful product experiences powered by serious technical depth
You’re a great fit if you’re…
Extremely technical, with a track record of deep, impressive projects or experience (startup or career experience, open source, side projects, etc.)
Comfortable navigating ambiguity and owning product decisions
Interested in startups and potentially starting one in the future; ambitious and obsessive over what you build. You care deeply about everything that you put out.
Communicative, not afraid to be opinionated, intense, and fun to work with :)
(Great to have) Experience with code generation, ML/AI, agentic workflows