Senior Implementation Engineer

• 5+ years of HL7 v2 interfacing, including at least 2–3 years supporting radiology workflows in a hospital, imaging group, or radiology vendor.
• Hands-on experience with radiology systems such as RIS (e.g., Epic Radiant), PACS, and reporting/dictation platforms
• Working knowledge of radiology messaging: orders (ORM) results and reports (ORU), accession number handling, and prelim, final, and addendum report states.
• Basic familiarity with DICOM and modality worklist concepts.
• Familiarity with REST APIs, JSON, and XML.
• Familiarity/Experience with JavaScript, Typescript, and/or Python.
• Strong understanding of the Radiology IT ecosystem and major clinical and system integration points.
• Strong attention to detail, and experience in testing and validating data mappings.
• Ability to communicate effectively with customer IT and end users, as well as our product management and engineering.
• Willingness to learn and adapt in a fast-paced startup environment.

• Experience with integration engines (Mirth, Rhapsody, Cloverleaf, Corepoint)
• Experience with radiology AI or worklist integrations.
• Experience with FHIR.
• Experience in a healthcare startup.

Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission, we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you!

To learn more about what it's like to work at Rad AI, visit https://www.radai.com/life-at-rad-ai and be sure to follow us on LinkedIn https://www.linkedin.com/company/radai/?utm_campaign=Recruiting_2026&utm_content=recruiting-job-posting-website&utm_source=recru%5B%E2%80%A6%5Db-posting-website to stay up to date!

Location Details

For roles listed as San Francisco - Onsite

• This role will be based in our San Francisco office and we expect employees to work onsite four days per week. The remaining time may be worked remotely or onsite, depending on team and business needs.

For roles listed as United States - Remote

• This role is open to candidates located anywhere in the United States.

For roles listed as San Francisco - Onsite + United States - Remote

• We will prioritize candidates who can work onsite four days per week in San Francisco, while also considering remote candidates located anywhere in the United States.

For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including

• Comprehensive Medical, Dental, Vision & Life insurance
• HSA (with employer match), FSA, & DCFSA
• 401(k)
• 11 Paid Company Holidays
• Flexible PTO policy
• Annual company-wide offsite
• Periodic team offsites
• Annual equipment stipend
• For roles based outside the US, your recruiter can share more details

Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com http://radai.com or no-reply@ashbyhq.com.

About Rad AI

At Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.

Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI.

Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.

Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie https://www.radai.com/news/auntminnie-recognizes-rad-ai-omni-reporting-as-2023s-best-new-radiology-software, and ranked by Deloitte https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/articles/fast500-winners.html as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact.

Most recently, Rad AI was named to CNBC’s Disruptor 50 https://www.cnbc.com/2025/06/10/2025-cnbc-disruptor-50-see-the-full-list-of-companies.html list, highlighting the innovation and momentum behind our mission.

If you’re ready to shape the future of healthcare, we’d love to have you on our team!

Why Join Us

At Rad AI, we combine world-class radiology and AI expertise to build products that maximize radiologist productivity, expand access to high-quality care, and improve patient outcomes. Join us and help transform how radiology is practiced for patients and health systems around the world.

We’re looking for a Senior Implementation Engineer with extensive experience with radiology interfaces to clinical data systems. Rad AI’s award-winning software has experienced tremendous market growth. We are looking for a teammate with a “can do'' attitude that is adaptable in a fast-paced, high-growth team.