AI Engineer (Backend)

Responsibilities:

• Own at least one named system inside the product, end to end. Context storage, retrieval, agent orchestration, or the integrations layer. Yours to architect, ship, and operate.
• Wrap LLMs into agent infrastructure that behaves reliably under real load, with the right tradeoffs across latency, cost, and quality.
• Ship daily. We treat the number of iterations per week as a primary metric.
• Define how a piece of the product earns trust, recovers from error, and degrades gracefully when the model is wrong.
• Build with AI as a primary collaborator. We use AI to build AI. We expect you to be fluent in the tooling and serious about the craft of using it well.
• Watch the work go live to real users and feel the responsibility that comes with that.