Sr. Software Engineer, GenAI
TLDR
Own the full lifecycle of AI features by rapidly prototyping, deploying, and evaluating LLM systems to drive innovation in nonprofit fundraising.
Design agentic systems & ship AI to production: Turn prototypes into resilient, observable services with clear SLAs, rollback/fallback strategies, and cost/latency budgets. Build tool‑using LLM “agents” (task planning, function/tool calling, multi‑step workflows, guardrails) for tasks like grant discovery, application drafting, and research assistance.
Own RAG end‑to‑end: Ingest and normalize content, choose chunking/embedding strategies, implement hybrid retrieval, re‑ranking, citations, and grounding. Continuously improve recall/precision while managing index health.
Collaborate cross‑functionally while raising engineering standards: 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).
Software engineering background: 7+ years of professional software engineering experience, including 1+ years working with modern LLMs (as an IC). Startup experience and comfort operating in fast, scrappy environments is a plus.
Hands-On: you’ve used Python (FastAPI or equivalent) PostgreSQL or any relational language, Redis etc, and you’re open to adopting new tools to get the job done.
Data chops: Comfortable with SQL, schema design, and building/maintaining data pipelines that power retrieval and evaluation.
Infrastructure & languages: Proficiency in Python (FastAPI, Celery) and TypeScript/Node; familiarity with Ruby on Rails (our core platform) or willingness to learn. Experience with AWS/GCP, Docker, CI/CD, and observability (logs/metrics/traces).
LLM agentic systems: Experience building tool/function‑calling workflows, planning/execution loops, and safe tool integrations (e.g., with LangChain/LangGraph, LlamaIndex, Semantic Kernel, or custom orchestration).
Collaborative approach: You thrive in a cross‑functional environment and can translate research ideas into shippable, user‑friendly features.
Results‑driven: Bias for action and ownership with an eye for speed, quality, and simplicity.
RAG expertise: Strong grasp of document ingestion, chunking/windowing, embeddings, hybrid search (keyword + vector), re‑ranking, and grounded citations.
Experience with re‑rankers/cross‑encoders, hybrid retrieval tuning, or search/recommendation systems.
Evaluation mindset: Comfort designing eval suites (RAG/QA, extraction, summarization), using automated and human‑in‑the‑loop methods; familiarity with frameworks like Ragas/DeepEval/OpenAI Evals or equivalent
Why You’ll Love Working Here
Join a mission-driven, product-led team that values curiosity, collaboration, and clear outcomes
Work closely with leaders who believe in bold ideas, fast learning, and empowering people to do their best work
Play a direct role in shaping the team and culture that will take Instrumentl to its next stage of growth
For US-based candidates, our target salary band is $175,000 - $220,000 USD + equity.
Salary decisions consider experience, location, and technical depth.
100% covered health, dental, and vision insurance for employees (50% for dependents)
Generous PTO, including parental leave
401(k)
Company laptop and home-office stipend
Bi-Annual Company Retreats for in-person collaboration
Instrumentl is evolving rapidly. You’ll always have new challenges and opportunities to grow here.
Benefits
Health Insurance
100% covered health, dental, and vision insurance for employees (50% for dependents)
Home Office Stipend
Company laptop and home-office stipend
Paid Time Off
Generous PTO, including parental leave
Instrumentl is a leading grant discovery and management tool tailored for non-profits, leveraging AI and technology to streamline the tracking and management of grants. With a rapidly growing client base of over 5,000 organizations, Instrumentl is at the forefront of fundraising automation, providing a powerful SaaS platform that enhances efficiency for its users.
- Founded
- Founded 2016
- Employees
- 11-50 employees
- Industry
- Internet Software & Services