Sr. Software Engineer, GenAI

This opportunity is for a Sr. Software Engineer, GenAI to join an AI engineering team and own AI-powered product features from concept through production. The role focuses on grant discovery, data ingestion, RAG systems, ranking, agentic workflows, and production evaluation for AI-driven search and matching experiences. You will work in a product pod, reporting to an AI engineering lead, with direct access to founders and high ownership over undefined technical problems. This role is hands-on and production-focused, requiring strong Python engineering, relational database design, modern LLM experience, and the ability to build reliable AI systems that operate at scale. Status: Full-Time Pay: $175,000 – $220,000 per year What You’ll Do Build Agentic AI Systems and Ship Them to Production Build tool-using LLM systems that can plan, call tools, and execute multi-step workflows for grant discovery, data ingestion, and research assistance Build agentic data-processing pipelines that crawl the web, extract messy source data, deduplicate records at scale, and structure data into clean, queryable databases Create data foundations that other teams can build on Turn prototypes into resilient production services with clear fallback strategies, cost controls, and latency budgets Own RAG and Ranking End to End Own the full RAG lifecycle, including ingestion, chunking, embedding strategy, hybrid retrieval, re-ranking, citations, and grounding Build ranking and scoring systems that match grants to nonprofits, universities, and foundations using advanced relevance techniques Continuously improve recall and precision as datasets grow Keep retrieval indices healthy, reliable, and production-ready Ship Safely and Raise the Engineering Bar Build evaluation and observability systems so AI outputs remain grounded, safe, and cost-effective Treat LLM behavior as non-deterministic by design and build systems accordingly Partner directly with founders and product pod teammates on complex, undefined problems Write clear, maintainable, well-tested code Build reusable systems that can expand across teams Qualifications 7+ years of professional software engineering experience Deep, recent, multi-year experience with Python Strong relational database and schema design skills Solid computer science fundamentals Demonstrated track record of owning complex systems end to end, from design through production reliability At least 1 year of hands‑on individual-contributor experience building with modern LLMs Nice to Have Deep production experience with RAG, including hybrid search, re‑ranking or fusion methods, and grounded citations Hands‑on experience with LangChain, LangGraph, or LlamaIndex Experience with vector databases beyond pgvector, such as Pinecone, Qdrant, or Milvus Experience building end-to-end agentic data‑processing systems, including crawling, deduplication, and data structuring Experience with AI evaluation and observability, including golden datasets, precision versus recall, LLM‑as‑judge, and drift monitoring Ruby on Rails experience Deep SQL experience Experience with AWS or GCP Experience with Docker and CI/CD Startup experience and comfort working in fast, scrappy, low‑process environments 100% covered health, dental, and vision insurance for employees Generous paid time off, including parental leave 401(k) Company laptop Home‑office stipend Bi‑annual company retreats Equity participation Recruitment notice: all communication only happens from authorized email addresses ending in @7seventy.net . We never ask for payments or sensitive documents. Suspect a scam? Email View email address on click.appcast.io #J-18808-Ljbffr 7Seventy