About the role
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 ML and LLM healthcare 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
- Currently pursuing a 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, clinical 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.
