AI Engineer

Senior AI Engineer OverviewThis well-funded, growth-stage healthcare technology company pairs healthcare expertise with AI to remove waste from the U.S. healthcare system. Its generative AI is already live, helping insurers find costly errors in medical payments. The next stage is making that AI more accurate, more explainable, and more reliable, and they want an engineer who has done it before. The team is lean, decisions move fast, and engineers work directly with leadership.ResponsibilitiesMaking models smarter: adapt and fine-tune large language models on specialized healthcare data, and own the training data, runs, and versioningImproving learning from experts: turn feedback from in-house medical reviewers into training signal using preference-based methods (DPO, RLHF, reward models)Grounding answers in evidence: build retrieval systems so every AI conclusion can be traced back to the document it came fromBuilding autonomous workflows: design AI agents that plan, call tools, and reason through multi-step reviewsProving it works: set up the metrics and test suites that show whether a change actually helpedShipping it: work with engineering and infrastructure teammates to run everything securely, quickly, and cost-effectively on sensitive patient dataQualifications3+ years building ML or AI systems that real users depend onProduction experience with LLM-based agents and retrieval-augmented generationHands-on fine-tuning (LoRA or similar parameter-efficient methods) in PyTorch / Hugging FaceReal-world use of RL or preference optimization on language modelsExcellent Python and engineering discipline, plus a rigorous approach to evaluationNice to HavesGPU and distributed training experienceSelf-hosted model inferenceExperience in healthcare or another regulated industryFamiliarity with common LLM orchestration and experiment-tracking tools