Regard Logo

Regard

Generative AI Engineer

Reposted 25 Days Ago
Hybrid
3 Locations
170K-240K Annually
Mid level
Hybrid
3 Locations
170K-240K Annually
Mid level
The Generative AI Engineer will develop AI-driven features for medical records, collaborating with teams to create systems extracting and generating clinical insights from EHR data, while ensuring accuracy and clinical relevance.
The summary above was generated by AI
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.

About Regard
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.

Our Tech Stack:

  • Frontend: TypeScript, React
  • Backend: Python, PostgreSQL, Redis, AWS
  • AI: OpenAI, Anthropic, Langfuse

Responsibilities:

  • 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

Qualifications:

  • 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)

Preferred Qualifications:

  • Familiarity with vector databases and embeddings generation
  • Experience working on a mature enterprise SaaS technology product
  • Exposure to startup and/or high growth environments 

Hybrid Work | Location | Work Authorization

  • 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

Comp | Perks | Benefits

  • Eligible for equity
  • 99% employer paid health benefits (Medical, Dental, and Vision) + One Medical subscription
  • 18 PTO days/yr + 1 week holiday break
  • Monthly health & wellness budget
  • Company-sponsored team retreat + social events
  • A sabbatical program

Our goal at Regard is to provide and maintain a work environment that fosters mutual respect, professionalism and cooperation. Regard is proud to be an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, alienage or citizenship status, age, disability or handicap, sex, gender identity, marital status, familial status, veteran status, sexual orientation or any other characteristic protected by applicable federal, state or local laws. We celebrate diversity and are proud of our supportive, inclusive workplace.

All candidates must successfully complete a background check as part of the hiring process.

Top Skills

Anthropic
AWS
Langfuse
Openai
Postgres
Python
React
Redis
Typescript

Regard Los Angeles, California, USA Office

We are a short distance from downtown Culver City, a charming collection of outdoor cafes, unique shops, galleries, and nightlife opening onto tree-lined boulevards. We are 5 miles from Beverly Hills, 8 miles from DTLA and Santa Monica Beach.

Similar Jobs

4 Days Ago
Easy Apply
In-Office
New York, NY, USA
Easy Apply
130K-14M Annually
Senior level
130K-14M Annually
Senior level
Digital Media
The AI Engineer will design and deploy LLM-powered solutions, optimize AI system performance, and integrate Snowflake with AWS cloud services, while ensuring data governance and quality for scalable applications.
Top Skills: APIsAutogenAWSCrewaiLangchainLlamaindexLlm Orchestration FrameworksPythonSemantic KernelSnowflakeVector Databases
10 Days Ago
In-Office or Remote
23 Locations
169K-303K Annually
Senior level
169K-303K Annually
Senior level
Big Data • Cloud • Digital Media • Machine Learning • Mobile • Software • Industrial
Lead the development of generative AI tools and scalable data pipelines for the AEC industry, mentoring engineers and collaborating on ML systems.
Top Skills: AWSPythonPyTorch
5 Days Ago
In-Office
New York, NY, USA
142K-213K Annually
Senior level
142K-213K Annually
Senior level
Fintech • Financial Services
The role involves designing and building reliable software, partnering with teams, ensuring compliance, and innovating at scale in the Generative AI platform.
Top Skills: AICi/CdClojureElixirKubernetesLlmsMlMlflowMlopsPythonRagRestfulRustScalaW&B

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account