Senior Software Engineer, Full Stack

ABOUT CHARTIS The challenges facing US healthcare are longstanding and all too familiar. We are Chartis, and we believe in better. We work with more than 1,900 organizations annually to develop and activate transformative strategies, operating models, and organizational enterprises that make US healthcare more affordable, accessible, safe, and human. With more than 1,450 professionals, we help providers, payers, technology innovators, retail companies, and investors create and embrace solutions that tangibly and materially reshape healthcare for the better. Our family of brands—Chartis, Jarrard, Greeley, and HealthScape Advisors—is 100% focused on healthcare and each has a longstanding commitment to helping transform healthcare in big and small ways. Believe in better.   Chartis has offices in Boston, Chicago, New York, Washington D.C., and Nashville.   Remote work is allowed.   ROLE OVERVIEW This is an opportunity to join a software development team building next-generation AI platforms for healthcare. We are looking for a technically fearless, accomplished engineer who will serve as a subject matter expert across agentic and full-stack systems, working daily in an agile environment to solve complex, cross-team challenges. You will drive engineering excellence and champion a culture of quality, innovation, and operational effectiveness. RESPONSIBILITIES AI & Agentic Systems Development - Design and build robust agentic workflows utilizing advanced frameworks such as LangChain and LangGraph. - Contribute to the strategy and ongoing maintenance of AI infrastructure, ensuring alignment with broader business goals and organizational risk tolerance. - Develop and maintain robust AI evaluation frameworks that measure real-world performance and drive measurable outcomes in healthcare. - Develop indexing and retrieval strategies across diverse healthcare data sources, including document repositories, FHIR-based clinical datasets, and payor/provider data, to power intelligent, context-aware applications. - Lead deployment of Large Language Models (LLMs) at scale, ensuring reliability, performance, and responsible AI safety practices. Fullstack Engineering & Operational Excellence - Build scalable back-end services and front-end solutions, utilizing languages and frameworks such as Python, Node.js, and JavaScript/TypeScript. - Define and maintain reliable cloud infrastructure using Infrastructure as Code (IaC) best practices on Azure or Google Cloud. - Ensure robust CI/CD pipelines are in place for automated deployment, testing, and continuous quality assurance. - Champion best practices for observability, availability, latency, scalability, and efficiency across distributed systems. - Build solutions with a DevOps mindset, seeking to automate integration and deployment so features can scale effectively and securely. Leadership & Collaboration - Mentor other engineers through code reviews, design documentation, and…