About the role
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.
What you'll do:
- 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