Who You Are We care about a particular mindset more than any specific item on a checklist. The person who'll thrive here is someone already living inside the modern AI stack — not planning to start. You read model release notes the way other people read the news. You've built real things with new tools the week they came out. Agentic dev workflows aren't something you've heard about; they're how you already work. When a new model drops, your first instinct is to put it on the bench. And underneath all of it, you're a builder — you ship, you write clean software, and you think about latency, cost, and what the user actually needs. What We're Looking For 6+ years of software engineering experience, with the last few focused on AI / ML systems Deep, hands-on experience designing and shipping agent systems in production - not demos. You understand agent architectures, memory, tool use, evaluation, and the failure modes that matter at scale. Strong fundamentals in embeddings, RAG, and hybrid retrieval, with real experience designing vector storage and retrieval pipelines for production use Deep production backend foundations - strong Postgres knowledge (functions, triggers, indexes, extensions, atomic operations, and similar depth), real-time client channels (WebSockets, SSE), async and event-driven backbones (pub/sub, queues, background tasks, webhooks), the ability to design systems and features around multithreading and multiprocessing, and dynamic resource management for high-throughput, latency-sensitive workloads. Excellent architecture instincts and strong Python - you write code that scales and that other engineers can build on Product sensibility - you can reason about trade-offs and what's worth building, not just what's technically possible
