curai - Staff Applied AI Engineer
Requirements
• Bachelor’s degree in Computer Science, Software Engineering, Math, or other related technical degree • 5+ years of hands on engineering experience with 2+ 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. • Strong written and verbal communication; ability to cross-collaborate with clinicians, product managers, and engineers across disciplines. • A bias toward action and ownership: you can take an ambiguous problem, drive it to a result, and bring others along. • Care for the mission. You want your work to translate into better health outcomes for real patients. • Experience applying ML or LLMs in healthcare, life sciences, or another regulated, high-stakes domain. • Experience with clinical NLP, medical knowledge representation, or working with electronic health record data. • Experience building agentic systems, tool-using LLMs, in production. • Experience scaling ML infrastructure — training pipelines, distributed inference, evaluation platforms — for a small, fast-moving team. • Track record of technical leadership: setting direction across teams, mentoring engineers, or publishing influential work.
Responsibilities
• Define technical strategy across multiple AI initiatives, driving architectural decisions, influencing product and research direction, and aligning engineering investments across teams to maximize long-term business and clinical impact. • Design, build, train, evaluate and improve advanced machine learning and LLM-based systems for patient and provider-facing products (e.g., conversational AI, personalization, user understanding, clinical decision support, chronic care management). • 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 — offline benchmarks, human-in-the-loop review, online experiments — 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. • Partner closely with clinicians, product, and engineering to translate medical and operational requirements into ML problems and ship measurable improvements to patient and clinician experience. • Set technical direction for your area, mentor other engineers, and raise the bar on engineering and scientific rigor. The scope of leadership scales with seniority. • Stay close to the literature and the rapidly evolving AI ecosystem; bring back what is most useful for our patients and our team.
Benefits
• High ownership work on problems that matter, with a tight feedback loop from real clinicians and patients. • A small, senior team where your work shows up in the product quickly. • Competitive compensation, meaningful equity, and comprehensive benefits. • Remote-first, flexible work environment across the U.S. • The pay range listed for this position reflects what Curai Health reasonably and in good faith expects to pay at the time of posting. Actual base salary will depend on a variety of factors, including your qualifications and years of relevant experience. • Culture: A mission-driven team of talented colleagues who are committed to living our values, collaborating closely, and driving meaningful impact in healthcare. • Comprehensive medical, dental, and vision coverage • Flexible spending plans • Generous and flexible Paid Time Off (PTO), floating holidays, and parental leave • 401k plan with employer matching • 100% remote — work from home
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