Engineering Square

We’re hiring an AI Engineer to build and ship production AI systems (not research prototypes). Startup experience is a must; you should have shipped fast in a small team, owned systems end-to-end, and be comfortable with ambiguity. Responsibilities include owning RAG pipelines and agentic workflows, GPU-optimized model deployment (Trident-style architecture), production MLOps (distillation, fine-tuning, training orchestration), data modeling for AI persona capabilities, and the surrounding infrastructure (Docker, CI/CD, logging, monitoring, observability). Requirements include 3-12 years shipping AI/ML in production (notebooks do not count), experience owning what you built at a startup/scale-up, strong Python (bonus for C++/Java/C# for performance-critical paths), and hands-on experience with RAG, MLOps tooling, and GPU deployment at scale. Onsite in the US only (no remote, no C2C).