Lead Applied AI engineer
Core
Build an intelligence layer to understand pet health history and reason over it to power insurance, health records interpretation, and care tools.
Role type
Senior hands-on applied AI engineer (pet health domain)
Builds
Pet health intelligence layer, model quality systems, evaluation benchmarks, multimodal understanding systems, safe production AI
Domain
Veterinary care / Pet health / Insurance
Deliverable
production ML models
Required skills
Modern LLMs and applied AI systems, model evaluation and quality measurement, post-training and fine-tuning, RAG and tool use, training data strategy, engineering to production, product thinking, domain expert collaboration
Preferred skills
Health or veterinary care experience, insurance domain knowledge
Technologies
Frontier closed-source models, open-source models, RAG, fine-tuning, post-training
Responsibilities
Set direction and choose models/approaches for pet health AI, build and measure model quality end-to-end, create evaluation systems and benchmarks, turn proprietary pet health data into domain-specific capabilities, ensure safe and clinically appropriate production AI, influence product direction with AI
Seniority
Senior, hands-on IC
