Generative AI Engineer, Regard

• BS in Computer Science or equivalent experience
• 3+ years of professional experience with software development in one or more programming languages (Python preferred)
• 1+ years of professional experience building generative AI products, such as RAGs, agents and chatbots
• Able to participate in on-call operational support for their areas of responsibility
• Able to travel up to 4 weeks a year for company co-working and/or retreat weeks
• Strong verbal and written communication skills
• Practical experience leveraging AI coding tools in day-to-day software development (e.g., Cursor, Claude Code, Codex)

Desirable

• As a Generative AI Engineer at Regard, you’ll work across the full lifecycle of developing and deploying AI-driven features, from ideation and design to prototyping, implementation, evaluation, and iteration. You’ll collaborate closely with product and clinical teams to build systems that transform medical records into structured insights and clinician-ready documentation
• Your work will center on applying modern LLMs to extract, summarize, normalize, and generate clinical information from diverse electronic health record (EHR) data sources. This includes developing robust pipelines, running model and prompt-engineering experiments, integrating models into production services, and ensuring outputs remain factual, safe, and clinically aligned
• You’ll directly contribute to high-priority product initiatives, shape new AI capabilities, and advance our LLM platform. Your work will have a tangible impact on how clinicians understand patient data and how healthcare organizations improve care quality
• Our mission is to bring world-class healthcare to everyone
• Regard is an AI-powered Proactive Documentation platform that advances how care is delivered by reviewing all patient data in the EHR to recommend diagnoses and surface clinical evidence
• Regard drafts a note even before the physician sees the patient, enabling an approach that gets documentation right at the point of care - we call it Proactive Documentation
• This improves quality of care, reduces physician burden, and improves hospital finances
• We are excited by challenges, mission-oriented work, and meaningful relationships
• We work closely with some of the top health systems in the country and are leading the change that healthcare - one of the largest and most inefficient industries in the world - needs
• We want you to join us
• Build and refine LLM-powered systems to extract structured medical concepts, diagnoses, medications, labs, and timelines from unstructured records
• Develop generation pipelines that produce clinically accurate drafts of notes (H&P, progress notes, discharge summaries, etc.) from factual inputs
• Design, prototype, and evaluate prompts, agent workflows, and retrieval-augmented generation (RAG) components
• Benchmark LLM systems to evaluate new models and audit accuracy
• Optimize inference cost, latency, and throughput through batching, caching, and model-selection strategies
• For this role, Regard is currently only considering candidates who are authorized to work in the US without visa sponsorship, and are within the New York City metro area, San Francisco Bay Area, or Los Angeles
• We expect our Engineers to be in the office on Tuesdays and Thursdays. We may request more frequent in-office work during the onboarding period
• We will provide relocation assistance to anyone who does not already reside in the NYC metro area
• We prefer hiring people within commuting distance of our offices because we value getting together in person regularly
• For those who enjoy working from the office on a more regular basis, we offer catered lunches and other fun perks
• Additionally, hybrid employees have the flexibility to work from locations outside of their home office from up to 6 weeks per year