Principal AI Engineer – Remote (US)

Shipped high-impact AI products—hands-on, not just in theory. Fine-tuned, deployed, and optimized LLMs (GPT, Claude, or open-source) in production. Fluent in modern AI stacks: semantic search, vector DBs, advanced cloud, MLOps, Python, and more. Anticipate trends, invent new approaches, and bring relentless curiosity and grit. Startup DNA or time at a world-class engineering org. Real-time, large-scale recommendation or analytics experience.

End-to-end delivery of AI products: dream it, build it, launch it, scale it. Building, fine-tuning, and customizing LLMs for real-time conversational AI, deep search, and world-class recommendations. Creating scalable infrastructure—vector databases, embeddings, RAG pipelines.