You will develop full-stack testing platforms and evaluation infrastructure used to align and improve next-generation AI models. By engineering complex software interactions and data systems that mimic real-world business environments, you enable AI researchers to train models on high-fidelity data. This role bridges product engineering and AI safety within a high-velocity team.
Product Engineer at well-funded AI safety startup
Join a well-funded AI safety startup as a Product Engineer and help build the testing infrastructure necessary for aligning the next generation of intelligent models. In this San Francisco-based role, you will create complex full-stack environments that simulate real-world business applications, providing the high-fidelity interaction data research labs need to evaluate and improve AI performance. Working alongside industry veterans from major technology companies, you will own projects end-to-end, from backend architecture to user interfaces.
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Location
San Francisco, United States
Compensation
$125k-$200k + Equity
Company
Confidential company
Role overview
About the company
Well-funded AI safety startup
What you will do
- Develop end-to-end evaluation platforms, including frontend tools, backend services, and APIs that simulate complex real-world software interactions.
- Partner with research teams to design sophisticated data models and software workflows for testing model performance in business contexts.
- Implement modern development practices and AI-assisted coding tools to rapidly build and deploy infrastructure that ensures AI reliability and alignment.
Who this is a fit for
- Has 3+ years of experience building complex, full-stack products from initial ambiguity to production, ideally within a high-growth startup environment.
- Possesses deep technical proficiency in React, TypeScript, and Python, with a strong intuition for how enterprise software behaves in production.
- Demonstrates a proactive, owner-mindset with the ability to navigate complex requirements and build robust tools for evaluating AI performance.
Why this role is remarkable
- Contribute to the critical mission of AI safety and human-aligned AGI by building evaluation infrastructure used by leading foundation model labs.
- Join a well-funded Series B startup backed by top-tier VCs, offering meaningful equity and the chance to work at the frontier of AI research.
- Work directly with a founding team of industry veterans from major technology companies in a high-velocity, in-office culture in San Francisco.
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