Instrumentl automates grant discovery and management for nonprofits. Backed by Y Combinator and 500 Global.
About the role
We're hiring a Senior Backend Engineer to own AI features end to end, from rapid prototype to production and the evaluation that keeps them honest. You'll build the APIs, tool-using agents, and RAG pipelines that turn frontier LLMs into grant discovery, application drafting, and research tools our 5,500+ nonprofits rely on every day. It's a high-ownership seat on a small team, where what you ship reaches customers fast and you help shape how we build AI here.
What they're looking for
- 7+ years building and shipping production backend systems in Python (FastAPI, Celery, or equivalent), taking features from prototype to production with real reliability practices like tests, observability, and rollback
- Strong data fundamentals: SQL, schema design, and building pipelines that power retrieval and evaluation
- Thrives in a fast, scrappy startup environment with high ownership and a bias for action, speed, quality, and simplicity
More about this role
Nonprofits do some of the most important work in the world, and most of them are still managing grants in spreadsheets. We're fixing that.
Instrumentl is a profitable, hypergrowth, YC-backed SaaS platform building the operating system for grant-funded organizations. More than 5,500 nonprofits use Instrumentl to discover, track, and win grant funding, from local community organizations to the San Diego Zoo and the University of Alaska. Collectively they’ve moved over $1 billion through our platform.
We're growing more than 40% year over year, customers love us (Ellis PMF 60+), and we're hiring people who want to build something that matters.
We're hiring a Senior Backend Engineer to own AI features end to end, from rapid prototype to production and the evaluation that keeps them honest. You'll build the APIs, tool-using agents, and RAG pipelines that turn frontier LLMs into grant discovery, application drafting, and research tools our 5,500+ nonprofits rely on every day. It's a high-ownership seat on a small team, where what you ship reaches customers fast and you help shape how we build AI here.
- Build tool-using LLM agents (task planning, function and tool calling, multi-step...
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