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# Founding Engineer

- **Company:** Accrescent Group
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Github, Python (Programming Language), PostgreSQL, Machine Learning, Operational Databases, Prism (Software), Recommender Systems, Search Technologies, TypeScript, ReactJS, Large Language Models, Machine Learning Operations
- **Published:** October 14, 2026
- **Apply:** https://www.wayup.com/i-j-Founding-Engineer-Accrescent-Group-209939389792879/

## About the Role

What we're looking for: 2-5 years shipping production software, with real applied ML depth. You've put models in front of users, not just in notebooks. Hands-on experience with recommender systems, ranking, or ML-powered matching. This is the thing we care about most. Strong in TypeScript or Python. Either is fine on its own. Production experience with LLM APIs. Strong CS fundamentals and a track record in fast, unstructured environments. Something outstanding on your profile: a top program, a strong GitHub, projects you're proud of. Nice to have: React, Supabase, Prisma, Typesense, trigger.dev, embeddings and vector search., Skills and Certifications [note: bold skills and certification are required]. Production recommendation, ranking or ML matching systems. TypeScript or Python production engineering. Production LLM APIs
Candidate Details: 2+ to 5 years experience,Seniority Level - Mid-Senior,Management Experience Required - No,Minimum Education - Other,Willingness to Travel - Never,Ideal Candidate.

## Description

We're seeking a Founding Engineer (AI/ML) with 2-5 years of production software engineering experience and strong applied machine learning expertise. This engineer will own the intelligence layer of client recruiting marketplace, building recommendation systems, ranking algorithms, retrieval capabilities, and LLM-powered matching solutions that improve candidate-role alignment. The ideal candidate has personally shipped production ML systems, writes strong TypeScript or Python, and thrives in a fast-paced, hands-on founding-engineer environment., Own the AI/ML intelligence layer end to end: recommendation, ranking, and retrieval. Build LLM-powered matching that measurably improves candidate-role alignment. Take features from problem to production yourself, shipping on a daily cadence. Architect and maintain the production data pipelines and services the models run on. Work directly with the founders to turn product goals into shipped systems.