Position Overview
We’re building deeply integrated LLMs into a real product used daily by restoration companies running thousands of jobs. This is not a “prompt engineer” role. You’ll design, train, and ship domain-specific language models that automate real workflows and move real revenue.
You will:
- Own end‑to‑end LLM systems: architecture, training, evals, and iteration
- Fine‑tune and extend existing models (LoRA, instruction tuning, RLHF)
- Build and maintain data pipelines from product databases, documents, APIs, and logs
- Ship reliable, monitored, production models with clear guardrails
- Collaborate closely with product and engineering to turn messy real‑world problems into working systems
- Build and coordinate the AI engineering team
- Use Claude Code as a core tool for development, refactors, tests, and experiments
This is for you if:
- “How does this actually work ...