- Salary
- $140k – $180k/yr
- Location
- San Francisco, California, US
- Type
- Full-time
- Department
- Engineering
- Education
- Bachelor
Description
What You’ll Do
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Lead the design and implementation of end-to-end features across our web applications and backend services.
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Build internal evaluation infrastructure for AI and LLM healthcare finance applications.
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Architect and maintain scalable, secure, and reliable systems that integrate with various healthcare platforms.
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Drive best practices in software development, including code reviews, testing, and documentation.
Qualifications
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Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related technical field.
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Proficiency in TypeScript, React, Node.js, and Python.
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Comfortable with LLM applications and containerized deployments.
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Thrives in environments of complexity and ambiguity, prioritizing collaboration and seeking the best ideas regardless of their source.
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A willingness to pitch in wherever needed—we move fast, and we need team players who are eager to contribute.
Bonus
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Hands-on work with LLM prompt engineering, finetuning, and RAG applications.
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Experience with workflow automations.
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Prior work in healthcare, finance AI, or other regulated, high-stakes industries.
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Open-source contributions to ML libraries, evaluation suites, or benchmarking tools.
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Experience with cloud platforms (e.g., Azure, GCP, AWS) and containerization technologies (e.g., Docker, Kubernetes).
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Strong understanding of database systems, both relational and non-relational.
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Familiarity with healthcare standards such as FHIR, HL7, and medical coding.
