Staff Machine Learning Engineer

<p><b><span style="font-size: 18px">About Fullscript</span></b></p><p><br></p><p>We’re an industry-leading health technology company on a mission to help people get better. We started in 2011 with one simple idea. Make it easier for practitioners to access the products they trust so they can deliver better care.</p><p><br></p><p>That simple idea grew into a platform that powers every part of care. Today, more than 125,000 practitioners use Fullscript for clinical insights, lab interpretations, patient analytics, education, and access to high-quality supplements. Over 10 million patients rely on Fullscript to stay connected to their care plans and follow through on treatment.</p><p><br></p><p>We build tools that make care smarter and more human. Tools that save time, simplify decisions, and help practitioners stay closely connected to the people they care for. When everything they need is in one place, they can focus on what matters most: <i>helping people get better.</i></p><p><br></p><p><b><span style="font-size: 16px">This is your invitation.</span></b></p><p><br></p><p>Bring your ideas, your grit, and your care for people.</p><p>Join us and shape the future of care.</p><p><br></p><h4 data-start="692" data-end="973">The role</h4> <p data-start="692" data-end="973">We’re hiring a&nbsp;<strong data-start="707" data-end="742">Staff Machine Learning Engineer</strong> to join our AI team and help shape the next generation of Fullscript’s AI-powered experiences. You’ll work on building innovative AI capabilities that help clinicians provide better services and help patients improve their health.</p> <p data-start="975" data-end="1449">This is a senior individual contributor role for someone who can go beyond implementation. In addition to building high-quality systems, you’ll help define technical direction, guide architecture decisions, and identify where AI can create meaningful value in clinical workflows. You’ll work with a high degree of autonomy and partner closely with engineering, product, analytics, and medical stakeholders to deliver scalable, reliable, and clinically useful AI experiences.<br><br></p> <h4 data-section-id="c1ec1s" data-start="1451" data-end="1468">What you'll do</h4> <ul data-start="1470" data-end="2839"> <li data-section-id="1xzxkya" data-start="1470" data-end="1706">Lead the design, development, and deployment of production, multi-turn LLM-powered features, including summarization tools and clinician-facing conversational agents that support follow-up questions and reasoning over clinical context</li> <li data-section-id="h6s8z1" data-start="1707" data-end="1828">Own backend services in Python that integrate LLM agents with Fullscript’s platform and support reliable production use</li> <li data-section-id="1hyqy5u" data-start="1829" data-end="1959">Help define technical direction for prompting, grounding, safety, and orchestration strategies used across clinical AI workflows</li> <li data-section-id="1iio8yp" data-start="1960" data-end="2098">Establish and improve evaluation approaches for LLM outputs, including accuracy, hallucinations, edge cases, and overall feature quality</li> <li data-section-id="jwtxud" data-start="2099" data-end="2217">Shape engineering patterns for model-related workflows, including testing, CI/CD, observability, and version control</li> <li data-section-id="goaseg" data-start="2218" data-end="2376">Partner with medical, product, and engineering teams to identify high-value opportunities for AI and turn them into practical, scalable product capabilities</li> <li data-section-id="1bk71w8" data-start="2377" data-end="2532">Work cross-functionally with engineering, analytics, and medical SMEs to refine requirements and ensure data and system design support clinical use cases</li> <li data-section-id="ft60w" data-start="2533" data-end="2697">Provide technical leadership across projects by creating clarity in ambiguous problem spaces, guiding tradeoff decisions, and r