Nonprofits do some of the most important work in the world, and most of them are still managing grants in spreadsheets. 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. We're growing quickly, customers love us (check out our G2 reviews!), You'll join our AI Engineering team as a

Senior Engineer

embedded in one of our product pods, reporting to our AI Engineering Lead. You'll own AI features for grant discovery end to end, from the data backbone that crawls and structures messy source data, through the RAG and agentic systems that match grants to nonprofits, to production deployment and ongoing evaluation. Build agentic AI systems and ship them to production

Build tool-using LLM systems that plan, call tools, and run multi-step workflows for tasks like grant discovery, data ingestion, and research assistance.

Build agentic data-processing pipelines that crawl the web, pull and dedupe messy source data at scale, and structure it into clean, queryable databases other teams build on.

Build ranking and scoring systems that match grants to nonprofits, universities, and foundations using complex relevance techniques.

Ship safely and raise the bar

Stand up evaluation and observability so our AI is grounded, secure, and cost-effective,



and treat LLM behavior as non-deterministic by design rather than as a regular API.

7+ years of professional software engineering experience, with deep, recent, multi-year Python and strong relational database and schema design skills.

Solid CS fundamentals and a demonstrated track record of owning complex systems end to end, from design through production reliability.

At least 1 year of hands-on experience building with modern LLMs (as an IC).

Vector databases beyond pgvector (Pinecone, Qdrant, Milvus).

Built end-to-end agentic data-processing systems (crawling, dedup, structuring) with whole-system ownership.

Evaluation and observability for AI systems: golden datasets, precision vs. recall, LLM-as-judge, and drift monitoring.

Ruby on Rails (our core platform is on Rails), deep SQL, and experience with AWS or GCP, Docker, and CI/CD.

USD, plus equity. Final compensation is determined based on experience, skillset, scope of responsibility, interview performance, and geographic location. 100% covered health, dental, and vision insurance for employees (50% for dependents)

Generous PTO, including parental leave

Company laptop and home-office stipend

Bi-annual company retreats

We are committed to building an inclusive workplace and do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, or any other legally protected status.

📌 Senior AI Software Engineer (Canada)
🏢 The Consensus
📍 Canada