Design, build, and ship ML and LLM systems for healthcare.
•We are hiring Senior Applied AI Engineers to push the frontier of applied AI in healthcare.
•You will design, build, and ship ML and LLM systems that directly shape how clinicians and patients interact with our platform.
•Key Responsibilities Lead the technical execution of complex AI initiatives, owning the design and delivery of solutions within a product or technical domain.
•Design, build, train, evaluate and improve advanced machine learning and LLM-based systems for patient and provider-facing products.
•Own problems end-to-end: scope the problem with clinicians and product partners, build datasets and evaluations, iterate on modeling, and ship to production with the right monitoring and guardrails.
•Develop robust evaluation frameworks that give us confidence our models are safe, accurate, and improving over time.
•Build and improve the platform that lets the team move quickly: data pipelines, training and inference infrastructure, prompt and model management, and tooling for clinical reviewers.
•Requirements Bachelor’s degree in Computer Science, Software Engineering, Math, or other related technical degree. 3+ years of hands-on engineering experience with 1+ years building and deploying machine learning systems including generative AI (LLMS), and a clear track record of impact.
•Strong software engineering fundamentals and the ability to ship reliable, well-tested code in Python (or a comparable language) in a production environment.
•Practical understanding of modern LLM techniques: prompting, retrieval-augmented generation, fine-tuning, evaluation, and the trade-offs between them.
•Comfortability working with messy, real-world data and designing evaluations to know whether a system is actually working.