Founding Engineer

Accrescent Group
San Francisco, CA, United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Github Python (Programming Language) PostgreSQL Machine Learning Operational Databases Prism (Software) Recommender Systems Search Technologies TypeScript ReactJS Large Language Models
+1 more
Machine Learning Operations

Job 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.

Requirements

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.

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