Software Engineer

LB202
  • -
  • San Francisco
  • Permanent

🚨 Software Engineer – Platform / Applied AI

📍 Onsite, San Francisco


I’m working with a fast-growing AI company building the expert reasoning and data infrastructure used by frontier AI labs to improve their models.


They capture the step-by-step reasoning, judgment and decision-making of verified domain experts and turn it into high-quality training data, evaluation environments, agent trajectories and RL infrastructure.


The company has scaled at an exceptional pace; reportedly becoming YC’s fastest unicorn ever after raising at a $3.2B valuation, around 10x its previous valuation in just five months. It is backed by leading venture investors and already generates significant revenue while operating with a lean, high-caliber engineering team.


This is a high-ownership role for someone who wants to build core platform infrastructure from the ground up in a fast-moving environment.


You’ll work on:


  • Architecting and scaling high-throughput data pipelines
  • Building complex data-capture workflows across web and desktop
  • Designing backend and platform infrastructure in Python
  • Working with distributed systems, queues, caching and search infrastructure
  • Building production systems across cloud environments
  • Owning projects end-to-end from architecture through deployment
  • Working directly with the founding team to define technical direction and ship quickly


Requirements:


✅ Candidates from highly selective startups, quantitative engineering environments or similarly demanding technical teams are especially relevant

✅ Strong backend, platform or infrastructure engineering experience

✅ Strong Python experience, ideally with some full-stack capability

✅ Experience building scalable production systems or high-throughput data infrastructure

✅ Strong cloud and distributed systems fundamentals

✅ Evidence of personally owning and shipping substantial systems into production

✅ High agency and comfort operating in a fast-moving, low-process environment

✅ Exceptional academic and technical pedigree. The hiring bar is very high, with a strong preference for top computer science backgrounds

⭐ Experience in AI infrastructure, LLM evaluation, human-in-the-loop systems or applied AI is highly valuable


💰 Package: $260K–$290K base + meaningful equity + $200K–$400K bonus.

Matt Beach Researcher

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