Instrumentl
Sr. Software Engineer, GenAI
Remote - USA · Senior
Sponsorship not specified$175k-$220kDetected 193 days ago
PythonRubyRailsSQLVector DatabasesAWSGCPDockerLLMsRAGAgentic AILangGraphResearch
About the role
- It's a hands-on, high-ownership seat with direct access to founders and real room to grow as the engineering team scales!
- Turn prototypes into resilient production services with clear fallback, cost, and latency budgets.
- Continuously improve recall and precision and keep indices healthy as the dataset grows.
Responsibilities
- 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.
- Own RAG and ranking end to end
- Build ranking and scoring systems that match grants to nonprofits, universities, and foundations using complex relevance techniques.
- Stand up evaluation and observability so our AI is grounded, safe, and cost-effective, and treat LLM behavior as non-deterministic by design rather than as a regular API.
- Partner directly with founders and your pod on undefined, complex problems with real autonomy.
- Write clear, maintainable, well-tested code and build reusably so your work expands across teams.
Nice to have
- Hands-on with at least one of LangChain, LangGraph, or LlamaIndex.
- 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.
- Startup experience and comfort operating in fast, scrappy, low-process environments.
- We're committed to paying competitively and equitably.
- For candidates based in Canada, compensation varies by province and will be shared by your recruiter early in the process.
Skills
- Vector databases beyond pgvector (Pinecone, Qdrant, Milvus).
Compensation
- For US-based candidates, the target salary range for this role is 175,000 - $220,000 USD, plus equity.
- Final compensation is determined based on experience, skillset, scope of responsibility, interview performance, and geographic location.
- We're committed to paying competitively and equitably.
- For candidates based in Canada, compensation varies by province and will be shared by your recruiter early in the process.
- Bi-annual company retreats
Benefits
- 100% covered health, dental, and vision insurance for employees (50% for dependents)
- Generous PTO, including parental leave
- Company laptop and home-office stipend
- For US-based candidates, the target salary range for this role is 175,000 - $220,000 USD, plus equity.
Company info
- What we're looking for:
Equal opportunity
- equal opportunity employer.
- If you need a reasonable accommodation during the application or interview process, please let us know.
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