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About the Role:
- Own the full lifecycle of AI features—from rapid prototyping to production deployment and ongoing evaluation.
- Build agentic LLM systems that can plan and use tools, implement RAG pipelines over our domain data, manage and evolve embeddings and indices.
- Stand up evaluation/observability so our AI is grounded, safe, and cost‑effective.
What you will do:
- Work side by side with Product, Design, and GTM on scoping, UX, and measurement; run experiments (A/B, canaries), interpret results, and iterate.
- Write clear, maintainable code, add tests and docs, and contribute to reliability practices (alerts, dashboards, incident response).
- Collaborate cross‑functionally while raising engineering standards.
What we're looking for:
- 5+ years of professional software engineering experience, including 2+ years working with modern LLMs (as an IC).
- Experience building tool/function‑calling workflows, planning/execution loops, and safe tool integrations.
- Strong grasp of document ingestion, chunking/windowing, embeddings, hybrid search (keyword + vector), re‑ranking, and grounded citations.
Instrumentl
Instrumentl is a hyper-growth YC-backed startup that provides a SaaS platform to help nonprofits discover, track, and manage grants efficiently. They have over 4,000 nonprofit clients and are cash flow positive, doubling year-over-year, with customers who love them.