Software Engineer

Software Engineer: Build Infrastructure for Frontier AI Labs | $350K–$600K OTE

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Do you want to work on the infrastructure pushing forward the capabilities of LLMs and AI agents? Do you want genuine end-to-end ownership, moving between AI research, distributed systems and product engineering rather than being confined to one part of the stack?

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A $34M-funded AI startup in San Francisco is building the data and evaluation infrastructure used by leading AI labs to develop increasingly capable models and agents. Growing rapidly, they've assembled a highly technical team from companies including Google, Meta and Jane Street.

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They're looking for Software Engineers with 1–4 years of experience who want to solve difficult engineering problems and take significant ownership early in their careers.

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What You'll Do:

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Build for Frontier AI – Develop RL environments, evaluation systems and infrastructure powering data creation for advanced AI and agentic reasoning.

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⚡ Own Projects End-to-End – Move from prototyping ideas from research papers through to building and deploying production systems.

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Solve Hard Engineering Problems – Work across Kubernetes, Kafka, APIs, distributed systems and full-stack applications operating at significant scale.

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Work Across the Stack – Collaborate directly with research, product and design, tackling whatever engineering problem has the highest impact.

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What They're Looking For:

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✔ 1–4 years of strong software engineering experience.

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✔ Strong full-stack fundamentals across technologies such as Python, TypeScript, React and Node.js.

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✔ Comfortable tackling infrastructure and distributed systems problems using technologies such as Kubernetes and Kafka.

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✔ High ownership, intellectually curious and able to move quickly across unfamiliar technical problems.

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✔ Excited by an intense, early-stage environment and working in-person alongside other ambitious engineers.

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Why Join?

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$180,000–$220,000+ base

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$350,000–$600,000 OTE, with uncapped upside and competitive equity.

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Five days per week in their San Francisco FiDi office, plus a half-day or remote Sunday.

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$34M raised, rapid growth and already working with leading AI labs on infrastructure at the frontier of model development.

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This isn't a role where you'll spend years working on one narrow piece of a mature system. You'll move between AI research, infrastructure and product engineering while building systems directly contributing to the next generation of AI models.