The role
We are building the next generation of production AI agent systems — systems that reason, plan, call tools, delegate across specialized sub-agents, and deliver real business outcomes end to end. We are looking for a senior engineer who has gone deep on modern machine learning, transformers and agents, and who wants to build at the frontier of what language models and multimodal systems can actually do in production today.
This is not a wrap an API around an LLM role. We expect candidates who understand why things work — the mechanics of attention, the failure modes of autoregressive decoding, the cost/latency trade-offs of caching and tool routing, the pitfalls of context engineering at scale. And who can turn that understanding into systems that ship, hold up under load, and keep improving.
What you'll do