GeneDx (Nasdaq: WGS) delivers personalized and actionable health insights to inform diagnosis, direct treatment, and improve drug discovery. The company is uniquely positioned to accelerate the use of genomic and large-scale clinical information to enable precision medicine as the standard of care. GeneDx is at the forefront of transforming healthcare through its industry-leading exome and genome testing and interpretation services, fueled by the world’s largest, rare disease data sets. For more information, please visit <a href="http://www.genedx.com/">www.genedx.com</a>. Summary  As a public and profitable company, we have ambitious plans to scale and enhance our products and services. Were looking for machine learning engineers who can work holistically to design strategic solutions that go beyond just writing code. A strong track record in understanding clinical workflows and business needs, communicating effectively, and delivering impactful results is essential, along with leadership qualities to guide and inspire colleagues.  As a Senior Applied AI Engineer specializing in Large Language Models for clinical applications, youll play a key role in advancing ourAI platform and building LLM- powered products that make a meaningful impact in healthcare. Youll have the opportunity to lead large-scale technical efforts developing agentic systems, retrieval-augmented generation (RAG) pipelines, and intelligent clinical assistants that address our long-term business strategies. Youll be expected to propose novel solutions to complex clinical AI challenges, design rigorous evaluation frameworks to measure and communicate model performance to clinical and regulatory stakeholders and optimize LLM systems using modern techniques like DSPy and prompt engineering. The ideal candidate will also have a track record of being an effective thought leader, and improving ML engineering best-practices across the organization.    Job Responsibilities <ul> <li>Design, develop, and deploy production-grade LLM systems and agentic workflows for clinical applications, ensuring they are safe, reliable, and clinically validated.</li> <li>Lead architecture and system design efforts for complex LLM-based applications including RAG systems, multi-agent frameworks, and clinical decision support tools.</li> <li>Develop comprehensive evaluation frameworks and benchmarks to assess LLM performance on clinical tasks, including accuracy, safety, bias, and hallucination detection.</li> <li>Implement and optimize prompt engineering strategies using frameworks like DSPy, LangChain, or similar tools to systematically improve model performance.</li> <li>Collaborate with clinicians, product managers, regulatory affairs, and engineering teams to translate clinical needs into robust AI solutions that meet healthcare standards.</li> <li>Create clear, interpretable metrics and visualizations to communicate model system performance to both technical and non-technical stakeholders, including clinical users and regulatory bodies.</li> <li>Mentor and coach ML engineers and data scientists, fostering a culture of responsible AI development, technical excellence, and continuous learning.</li> <li>Champion LLM engineering best practices including prompt versioning, evaluation-driven development, safety guardrails, and monitoring for production systems.</li> </ul>   Education, Experience, and Skills <ul> <li>Proficiency in Python, with deep expertise in LLM frameworks and tooling.</li> <li>5+ years experience in ML/AI engineering, with 3+ years specifically working with large language models in production environments. </li> <li>3+ years experience building and deploying LLM applications using modern frameworks (LangChain, LlamaIndex, DSPy, Haystack, or similar). </li> <li>3+ years experience with prompt engineering, optimization, and systematic prompt improvement methodologies. </li> <li>3+ years experience designing evaluation frameworks, benchmarks, and metrics for ML systems, particularly for generative AI and LLMs. </li> <li>3+ years experience with agentic systems, tool use, function calling, and multi-step reasoning workflows. </li> <li>3+ years experience with retrieval systems, vector databases, and RAG architectures (e.g., Pinecone, Weaviate, ChromaDB, FAISS). </li> <li>5+ years experience deploying scalable ML services in the cloud using Docker and Kubernetes (e.g., AWS, GCP, Azure). </li> <li>Strong understanding of LLM safety, including hallucination detection, bias mitigation, and adversarial robustness. </li> <li>Experience with fine-tuning, RLHF, or other model adaptation techniques. </li> <li>Experience with E2E monitoring and observability (e.g., Grafana, Prometheus), user telemetry/alerting, model throughput, and structured logging. </li> <li>Experience building annotation workflows and tooling, ETL/cleaning pipelines, schema design, data provenance tracking, and dataset/version control. </li> </ul>   Bonus points for:   <ul> <li>Advanced degree (MS/PhD) in Computer Science, Machine Learning, Computational Linguistics, or related field. </li> <li>Prior healthcare / health tech experience, particularly with clinical workflows, EHR systems, or medical documentation. </li> <li>Experience with clinical NLP tasks (medical coding, clinical note generation, diagnosis prediction, etc.). </li> <li>Knowledge of healthcare regulations and standards (HIPAA, FDA guidance on AI/ML medical devices, HL7/FHIR). </li> <li>Publications or contributions in LLM research, clinical AI, or evaluation methodologies. </li> <li>Experience with medical language models (e.g., Med-PaLM, BioGPT, Clinical BERT variants). </li> <li>Familiarity with human-in-the-loop systems and active learning for clinical applications. </li> <li>Experience building guardrails and safety systems for LLMs in high-stakes domains. </li> <li>Experience with CI/CD and MLOps pipelines for ML/LLM systems including automated model deployment, testing, and monitoring. </li> <li>Open-source contributions to public GitHub repositories related to LLMs, RAG, or clinical AI. </li> <li>Prior experience integrating LLM systems into EHR workflows (SMART on FHIR apps, CDS Hooks, or other FHIR-based integrations). </li> </ul>   Acknowledgements The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor.   <div>~ Science - Minded, Patient - Focused.  At GeneDx, we create, follow, and are informed by cutting-edge science. With over 20 years of expertise in diagnosing rare disorders and diseases, and pioneering work in the identification of new disease-causing genes, our commitment to genetic disease detection, discovery, and diagnosis is based on sound science and is focused on enhancing patient care. Experts in what matters most.  With hundreds of genetic counselors, MD/PhD scientists, and clinical and molecular genomics specialists on staff, we are the industry’s genetic testing experts and proud of it. We share the same goal as healthcare providers, patients, and families: to provide clear, accurate, and meaningful answers we all can trust. SEQUENCING HAS THE POWER TO SOLVE DIAGNOSTIC CHALLENGES. From sequencing to reporting and beyond, our technical and clinical experts are providing guidance every step of the way: TECHNICAL EXPERTISE <ul> <li>High-quality testing: Our laboratory is CLIA certified and CAP accredited and most of our tests are also New York State approved.</li> <li>Advanced detection: By interrogating genes for complex variants, we can identify the underlying causes of conditions that may otherwise be missed.</li> </ul> CLINICAL EXPERTISE <ul> <li>Thorough analysis: We classify variants according to our custom adaptation of the most recent guidelines. We then leverage our rich internal database for additional interpretation evidence.</li> <li>Customized care: Our experts review all test results and write reports in a clear, concise, and personalized way. We also include information for research studies in specific clinical situations.</li> <li>Impactful discovery: Our researchers continue working to find answers even after testing is complete. Through both internal research efforts and global collaborations, we have identified and published hundreds of new disease-gene relationships and developed novel tools for genomic data analysis. These efforts ultimately deliver more diagnostic findings to individuals.</li> </ul> Learn more About Us <a href="https://www.genedx.com/about-us" target="_blank">here</a>. Our Culture At GeneDx, we are dedicated to cultivating an environment where creativity and innovation thrive. We believe in the power of community and collaboration, where diverse perspectives are embraced, and every voice contributes to our shared success. Our team is a vibrant mix of professionals who challenge and support each other in equal measure, fostering growth both personally and professionally. When you join us, youre not just taking on a job—youre joining a movement. A movement that champions curiosity, embraces change, and believes in making an impact, one patient at a time. Cultural principles we live by:   <ul> <li>Be bold in our vision &amp; brave in our execution. </li> <li>Communicate directly, with empathy. </li> <li>Do what we say were going to do.  </li> <li>Be adaptable to change.  </li> <li>Operate with a bias for action.    </li> </ul> Benefits include: <ul> <li>Paid Time Off (PTO)</li> <li>Health, Dental, Vision and Life insurance</li> <li>401k Retirement Savings Plan</li> <li>Employee Discounts</li> <li>Voluntary benefits</li> </ul> GeneDx is an Equal Opportunity Employer. All privacy policy information can be found <a href="https://www.genedx.com/privacy" target="_blank">here</a>.</div>

GeneDx

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