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Staff AI Engineer, Software

Health Gorilla

Health Gorilla

Software Engineering, Data Science
Remote
USD 240k-300k / year + Equity
Posted on Jun 7, 2025

Want to revolutionize healthcare?

To create a healthcare system with effective health information exchange, healthcare organizations need more than a series of connections between each other. They need assurance that the data being exchanged is meaningful and to know it will be delivered when and where they need it.

Founded in 2014, Health Gorilla provides access to actionable patient data, supporting a diverse set of clinical use cases and improving outcomes across the country. We work with some of the leading companies in health IT, value-based care, and digital health, including Virta Health, The Garage, Medhost, and many others.
Health Gorilla is one of the five original organizations approved as a Qualified Health Information Network (QHIN) and the only QHIN to also be designated as a Qualified Health Information Organization (QHIO).

Health Gorilla is at the forefront of medical data interoperability. We help ensure that a doctor, treating a patient, has the most accurate information about this patient’s medical history - regardless when and where the patient was seen previously.

As a Staff AI Engineer at Health Gorilla, you will lead AI transformation of the Engineering organization, changing how we work and deliver projects. You will provide technical guidance and lead by example, mentor others, and ensure increases in productivity by the effective use of AI in everyday tasks. You’ll be instrumental in integrating cutting-edge AI solutions with a focus on high-level orchestration, empowering our engineering teams to perform at 2-3X their current capacity. This position requires someone who thrives in both technical leadership and hands-on programming, working to craft sophisticated AI-driven solutions.

What you will do at Health Gorilla:

  • Deliver engineering projects from concept to completion
  • Develop and implement design strategies to improve products and systems
  • Provide technical expertise, including troubleshooting and solutions, lead complex problem investigations
  • Stay on top of the latest advancements in AI technologies, continuously applying innovations to drive Health Gorilla’s technical capabilities forward.
  • Lead efforts to integrate AI tools into the development process at Health Gorilla
  • Lead the efforts to migrate existing legacy monolith application into a micro-service architecture - in part, by leveraging AI tools in the process.
  • Mentor other engineers in adopting advanced AI-assisted development techniques and best practices
  • Ensure compliance with industry standards and regulations
  • Stay up-to-date with industry trends and advancements

What you bring to the role:

  • Masters degree in Computer Science or a related field or equivalent work experience
  • 10+ years of experience in building enterprise software in Java
  • 7+ years of experience building high traffic applications operating on large data sets with 24/7 operational requirements.
  • 7+ years of experience building, deploying, monitoring, and operating microservice architectures using K8s, Docker, and AWS infrastructure. Demonstrated experience leading migration of the company systems from a legacy monolith architecture into a microservices-based architecture.
  • 2+ years of experience accelerating production code development using AI/LLM tools. Demonstrated experience accelerating adoption of LLM-based tools across the engineering team. Experience using AI tools on both green-field projects as well as large legacy code bases is strongly preferred. Deep experience with Cursor is preferred.
  • Understanding of how LLM-based code generation systems work, their strengths and weaknesses, and strong (experience-backed) opinion on what are the most effective ways to utilize these tools.
  • Demonstrated experience with security and privacy issues surrounding handling sensitive data in a hosted multi-tenant environment. Experience with PHI data is strongly preferred.
  • Experience working with and good understanding of medical information systems and protocols (FHIR, HL7 CCDA, etc) is strongly preferred.
  • Experience working with large (multi-terrabyte) Mongo databases is a plus.
  • Demonstrated experience in balancing code elegance, speed of delivery, and tech debt.
  • Demonstrated experience in mentoring more junior engineers
  • Must be able to work in the US without sponsorship

What You Will Love About Us!

  • Health Gorilla takes a market-based approach to pay, and the base salary range for this role is $240,000 to $300,000, based on experience and geography. Please note that ranges may be modified at any time, and there is no guarantee offers will be at the top of a posted range.
  • New hire stock option grant
  • 401(k) plan with discretionary matching (historically matched at 3%)
  • Unlimited PTO plus 12 Holidays
  • Medical, dental, and vision insurance for you and your family
  • Short-, long-term disability, and life insurance
  • Optional: Pet Insurance, Legal Services, and Credit Monitoring
  • Mental health and wellness support
  • Paid parental leave (up to 12 weeks)
  • Monthly stipend for phone and internet
  • Use of an Apple Laptop plus a $400 stipend for additional equipment
Beware of job scams:
  • We will only contact you from our @healthgorilla.COM email address and communicate via phone or zoom
  • We will never ask you for money or to purchase items such as a laptop to work with us
  • If your resume has your home address listed, we recommend replacing with just a city, state

Our goal is to be a diverse workforce that is representative, at all job levels as we know the more inclusive we are, the better our product will be.

Health Gorilla is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, genetic information, or any protected category prohibited by local, state or federal laws.