Senior Fullstack Engineer

Posted 7 Days Ago
2 Locations
Hybrid
180K-220K Annually
Senior level
Artificial Intelligence • Healthtech • Software
Building the AI layer for healthcare - powered by large language models.
The Role
Build and maintain scalable APIs and web applications across the full stack. Own end-to-end development of customer-facing and internal product features, collaborate cross-functionally, engage with customers, and help create secure, performant applications for healthcare environments.
Summary Generated by Built In

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM-powered platform is solving chart review once and for all, across use cases. For health systems, our first product dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology. Our long term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health’s diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine.

Here’s a collection of articles about our product, mission, recent funding round, etc.

We’re seeking exceptional engineers to join our seed-stage company as early members. Together, we will create the AI layer that will redefine healthcare for the better.


Job Description

We’re hiring an experienced product-minded full stack engineer to join our team. In this role, you will own the end to end development of new features and product experiences to supercharge Layer Health’s internal and customer facing applications.

You can expect to:

  • Design, build, and maintain scalable and performant APIs and web applications.
  • Speak with customers to understand their needs and design solutions to address them.
  • Collaborate on a cross-functional team to design and ship new product features/experiences. 
  • Cultivate a robust engineering and product culture that drives the company forward.
  • Work closely with Layer’s engineers to design highly scalable, fast, and secure applications deployed in critical healthcare environments.

We look for:

  • 7+ years of experience in full stack software development, with the ability and flexibility to traverse the stack when necessary.
  • Fluency in Typescript, React, and other modern web technologies (we use React).
  • Fluency in one or more backend languages (we use Python).
  • A strong communicator who thrives in a customer-focused, fast-paced environment. 
  • A proactive problem-solver with a strong sense of ownership and the ability to work independently.
  • An excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team. 
  • We are a Boston-based company, and expect engineers to meet regularly in-person in Boston (engineers from Boston, NYC, or east coast are welcome).

Join us and help us transform healthcare with AI.

Layer Health is committed to foster an environment of inclusion that is free from discrimination.  We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law.

Expected compensation range for this role is $180,000-220,000 for Boston and NYC-based candidates; range may vary for candidates outside of the Boston/NYC metro area. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made.

Skills Required

  • 7+ years of experience in full-stack software development
  • Fluency in TypeScript and React
  • Fluency in one or more backend programming languages, including Python
  • Strong communication skills and ability to work in a customer-focused, fast-paced environment
  • Proactive problem-solving skills, ownership, and ability to work independently
  • Adaptability and ability to collaborate effectively as a team member
  • Ability to meet regularly in person in Boston; candidates from Boston, NYC, or the East Coast are welcome

Layer Health Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Layer Health and has not been reviewed or approved by Layer Health.

  • Fair & Transparent Compensation — Salary ranges and base bands are published on multiple official postings, including clearly stated pay for roles like Senior Product Designer and senior technical positions. This visibility signals an emphasis on pay transparency for full-time roles.
  • Equity Value & Accessibility — Full-time postings consistently note equity or stock options alongside salary. This indicates that ownership participation is commonly included for eligible roles.
  • Leave & Time Off Breadth — A flexible PTO policy is explicitly called out in current listings. Time-off flexibility is positioned as part of the standard offer for full-time positions.

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The Company
HQ: Boston, Massachusetts
45 Employees
Year Founded: 2023

What We Do

Layer Health is a healthcare AI company spun out of MIT and backed by GV (Google Ventures), Define Ventures, Flare Capital Partners, General Catalyst, MultiCare Health System and Froedtert Health. We are solving the information problem in healthcare.

Why Work With Us

Layer Health uses AI to unlock insights buried in messy medical records, starting with chart review for hospitals. We validate every model against real historical data before go-live, so accuracy isn't assumed, it's proven. We're small, mission-driven, and building AI that's actually deployed in hospitals, not stuck in a demo.

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