Full Stack Engineer

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.