Job Opportunities API

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 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. What You’ll Be Doing: - Develop and maintain HL7 and FHIR interfaces with our customers' systems, working closely with the customer's interface teams. - Lead the standardization of our interfaces across products and the creation of documentation for our interfaces. - Provide technical expertise, guidance, and support during product implementation to ensure successful customer utilization. - Work on monitoring and alerting of interface health. - Test and troubleshoot HL7 and FHIR implementations to ensure reliability and compatibility. - Facilitate end-to-end implementation testing with customers. - Provide end-to-end technical assistance for our new clients during their implementation testing process. - Collaborate with Developers and Engineers on interface-related tasks to continually improve integration methods and/or custom functionality to meet customer needs. - Provide advanced technical customer support as necessary after go-live. - Assist in mentoring and upskilling teammates in HL7 and FHIR, and acting as an internal leader in FHIR and HL7 best practices. Who We’re Looking For: - 5+ years of experience in HL7 v2 interfacing. - Proven technical background, should be comfortable reading logs, source code, querying DBs using SQL. - Familiarity with REST APIs, JSON, and XML. - Familiarity/Experience with JavaScript, Typescript, and/or Python. - Strong understanding of the Healthcare IT ecosystem and major clinical and system i