Agent Engineer
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Coframe · Sf Bay AreaWe'll track this in your applications and open the company's page so you can finish applying.
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About the role
At Coframe, we are building a future where user and agent interfaces can adapt, evolve, and personalize themselves. We are a primarily in-person company based in San Francisco. We are well-capitalized with backing from Khosla Ventures, Nat Friedman, the founder of Android, and others. We are generating revenue, growing rapidly, and trusted by companies you definitely know. Our team is small and talent-dense, consisting of competitive programmers, former founders (our founder previously co-founded a unicorn), and AI researchers from top institutions who have created a few of the most popular OSS code generation projects. "You guys are insane." - OpenAI team "Coframe makes you feel like you have a team of 100 people." - Replit team
Responsibilities
- Build AI agents that generate interfaces, client-side features, and more at scale.
- Create validation systems that catch bugs, off-brand outputs, and poor user experiences before launch
- Create online and offline evaluation systems for generated outputs
- Build monitoring systems that detect issues and regressions after rollout
- Improve orchestration between generation, QA, rollout, and learning loops
- Consistently turn manual workflows into scalable and reliable agents
- Talk to technical and non-technical teams to capture qualitative feedback and convert it to the metrics and improvements
Benefits
Additional Information
We're looking for Agent Engineers to build systems that generate, test, monitor interfaces at scale. This team enables the creation of hundreds of thousands of on-brand, production-ready experiences (Web and beyond) with strong automated QA loops and continuous monitoring systems. Each improvement here increases optimization space, experimentation velocity, and thus, lift. You're a great fit if you have: Built production AI systems, agent workflows, LLM pipelines Strong software engineering fundamentals and ability to ship reliable non-derministic systems Experience with LLMs, tool use, evaluation systems, and parallel execution. Strong web experience and product sense for what good outputs look like Ability to talk to customer, non-technical partners to convert requirements into: technologies and processes.
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