Job Description

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.

• 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.

• 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.

Job Tags

Similar Jobs