Sr. Software Engineer, GenAI

7Seventy; Northern (KY); Hybrid; USD 175,000 - 220,000; Full time

Benefits offered by this job

Company laptop

Home-office stipend

Equity participation

401(k)

Health insurance

Job summary

7Seventy is seeking a Sr. Software Engineer, GenAI to own AI-powered features from concept to production. You will contribute to grant discovery, data ingestion, RAG systems, and production evaluation for AI-driven search and matching experiences.

In a hands-on role, you’ll work on Python-based systems, relational databases, and modern LLMs, collaborating with the AI engineering lead and founders to tackle undefined technical problems with high ownership.

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.
• Track record of owning complex systems end to end, from design through production reliability.
• At least 1 year hands-on experience building with modern LLMs.

Responsibilities

• Build agentic AI systems and ship them to production.
• Own the RAG lifecycle, including ingestion, chunking, embedding, retrieval, re-ranking, and grounding.
• Develop ranking and scoring to match grants to nonprofits, universities, and foundations.
• Create reliable, observable AI systems with safe, cost-effective operation.

Skills

Python

Relational DB design

CS fundamentals

End-to-end ownership

LLM experience

Architectural thinking

Tools

LangChain

LangGraph

LlamaIndex

Pinecone

Qdrant

Milvus

Docker

CI/CD

AWS

GCP

Job description

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 [e-mail]