Agent Engineer

At Coframe, we’re building AI systems that can autonomously generate, verify, deploy, and personalize living interfaces at scale. As an Agent Engineer, you’ll build the core intelligence behind these systems. You’ll work on AI agents that create production-ready interfaces, reason through complex tasks, use tools, validate their own work, and continuously improve through real-world feedback. Each new capability expands the range of experiences Coframe can create and optimize. Your work will increase experimentation velocity, improve output quality, and reduce the human effort required to build and maintain digital experiences. You’re a great fit if you have: Strong software engineering fundamentals and experience shipping reliable production systems Experience building LLM applications, AI agents, autonomous workflows, or code generation systems Experience with prompting, evaluation, retrieval-augmented generation, tool use, or agent frameworks Experience building systems for planning, reasoning, and multi-step execution The ability to design reliable systems around nondeterministic model behavior Experience with automated testing, evaluation systems, and parallel execution Strong web engineering skills and product judgment for what makes a high-quality interface Experience integrating agents with browsers, development tools, APIs, or internal platforms Comfort working across the stack to solve complex engineering problems The ability to turn qualitative feedback into measurable improvements to agent performance Curiosity, pragmatism, and excitement about working on problems with no established playbook A track record of exploring new approaches to code generation and agent development beyond standard tools and frameworks What you’ll do: Build AI agents that generate high-quality user interfaces, client-side features, and product experiences Develop agent workflows for planning, reasoning, tool use, and multi-step execution Build systems that allow agents to autonomously generate, test, verify, and improve their own work Create validation systems that catch bugs, off-brand outputs, and poor user experiences before launch Develop online and offline evaluation sys tems for generated code, designs, and user experiences Build agent memory, feedback loops, and learning pipelines that improve performance over time Integrate agents with browsers, development environments, internal platforms, and other tools Build monitoring systems that detect quality issues and regressions after rollout Improve orchestration across generation, validation, deployment, monitoring, and learning loops Turn manual engineering and operational workflows into scalable, reliable agents Build production systems capable of safely generating and improving hundreds of thousands of interfaces Work with technical and non-technical teams to translate feedback into metrics, evaluations, and product improvements Benefits: Flexible (Unlimited) Paid Time Off Top-of-the-line Medical,...