What You’ll Do • Lead the design and implementation of end-to-end features across our web applications and backend services. • Build internal evaluation infrastructure for AI and LLM healthcare finance applications. • Architect and maintain scalable, secure, and reliable systems that integrate with various healthcare platforms. • Drive best practices in software development, including code reviews, testing, and documentation. Qualifications • Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related technical field. • Proficiency in TypeScript, React, Node.js, and Python. • Comfortable with LLM applications and containerized deployments. • Thrives in environments of complexity and ambiguity, prioritizing collaboration and seeking the best ideas regardless of their source. • A willingness to pitch in wherever needed—we move fast, and we need team players who are eager to contribute. Bonus • Hands-on work with LLM prompt engineering, finetuning, and RAG applications. • Experience with workflow automations. • Prior work in healthcare, finance AI, or other regulated, high-stakes industries. • Open-source contributions to ML libraries, evaluation suites, or benchmarking tools. • Experience with cloud platforms (e.g., Azure, GCP, AWS) and containerization technologies (e.g., Docker, Kubernetes). • Strong understanding of database systems, both relational and non-relational. • Familiarity with healthcare standards such as FHIR, HL7, and medical coding.