Senior Full-Stack Engineer for AI Model Benchmarking Platform
Build and maintain a platform for AI model benchmarking, working with a small team in San Francisco. 2-6 years of experience in full-stack or platform engineering required. Competitive salary and equity offered.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Our client is a pre-seed San Francisco team building the platform that benchmarks the world's leading AI models on rigorous, domain-specific tasks. They work with every major foundation model lab and top financial institutions, and their work has been featured in the Wall Street Journal, Washington Post, and Bloomberg. Backed by Pear VC, the team is small (~15 people) and growing fast — early enough that you'll own massive chunks of the platform and help shape the engineering culture from day one.
The rol
eThis is a pure individual-contributor seat with real autonomy. You'll build the infrastructure that runs LLM evaluations at scale — distributed systems, cloud infra, and full-stack features — taking fuzzy, open-ended problems and shipping solutions independently
.
What you'll
- doBuild and maintain the platform that runs LLM benchmarks end to end — Python libraries, web platform, cloud infrastructure, and toolin
- g.Work across the full stack as a generalist — Python/Django backend services and React/TypeScript frontend feature
- s.Take open-ended problems and independently design, build, and ship solution
- s.Perform code and architecture reviews for other engineer
- s.Collaborate closely with the research team to ensure infrastructure meets their evaluation need
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s.
What we're looking
- for2–6 years of experience in full-stack or platform engineeri
- ng.Production Python expertise in a professional setti
- ng.React/TypeScript frontend experien
- ce.Experience building systems of meaningful scope in producti
- on.A sign of excellence — a top company, interesting research, a strong project, or a top-tier CS progr
- am.Hands-on every day — this is not a management or delegation ro
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le.
Bonus po
- ints0-to-1 product building at big tech, a VC-backed startup, or as a foun
- der.Interest in the AI/ML domain and its challen
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ges.
Compensation and ben
- efitsBase: $150K –
- $215KEquity: Compet
- itiveVisa sponsorship available for exceptional candi
dates
Location and work
- modelSan Francis
- co, CAOn-site, 5 days pe
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