Software Engineer

Python cloud services; React and TypeScript product surfaces; asynchronous and streaming systems; typed APIs and data models; relational and vector data; durable workflows; protocol-based tool execution; multiple model providers; and cloud-native deployment.

Requirements:

• 5-11 years of software engineering experience. We will make exceptions for exceptional people in either direction.
• Strong backend and distributed-systems fundamentals, including typed API design, asynchronous workflows, persistence, reliability, and production debugging.
• Practical experience shipping LLM, agent, search, retrieval, recommendation, experimentation, workflow, or developer-platform systems into production.
• An empirical approach to AI quality: you can form a hypothesis, design a useful evaluation, interpret noisy evidence, and distinguish a real improvement from movement in a proxy metric.
• The ability to reason about retries, idempotency, partial failure, long-running state, concurrency, latency, cost, experiment design, and safe rollout.
• A security-minded approach to multi-tenant systems, identity, authorization, credentials, tool execution, privacy, and auditability.
• Product judgment. You can find a durable abstraction behind a real requirement without generalizing too early or freezing customer-specific behavior into the platform.
• AI-native. You use coding agents and modern models as a force multiplier while still owning architecture, correctness, evidence, and operational outcomes.
• Clear communication and high EQ. You can work with product, infrastructure, customer engineering teams, and applied AI researchers without losing technical depth.
• A generalist mindset and comfort moving between libraries, services, data, experiments, integrations, evaluations, and product surfaces.
• Comfort building product-facing software. You can work in React and TypeScript when a capability needs a great interface, and you can reason about streaming state, accessibility, and end-to-end user experience.