Develop the backbone of a platform by designing and implementing HIPAA-compliant software, developing APIs and integrations, and building privacy-preserving architectures, including self-hosted LLMs and AI agents.
Requirements
- Experience working on LLMs and building AI agents, including multi-agent systems.
- Exceptional software engineering skills with a bias for action and love of solving tough problems; experience at a small startup is ideal.
- Experience with FHIR, CCDA, and related standards is a plus.
- Including building highly secure, privacy preserving and robust software stacks in regulated industries - fintech, healthcare.
- Familiarity with ontologies, knowledge graphs, vector databases, and RAG is a plus.
Responsibilities
- Design, build, and maintain scalable backend systems, APIs, and 3rd party integrations.
- Develop and manage connections with health data partners, ensuring secure, reliable and scalable data flow.
- Implement privacy-preserving architectures, including building self-hosted LLMs and AI agents, fine-tuning models, and building AI-native applications.
- Perform extensive testing to ensure system security, reliability, and compliance with HIPAA and other regulations.
- Optimize backend systems for performance and scalability.
- Collaborate with product and design teams to deliver seamless, user-focused solutions.
Other
- We welcome tinkerers, self learners, explorers and doers.
- Ability to think critically, communicate ideas effectively, solve problems creatively, and adapt to a fast-paced development environment.
- Flexible time off
- Generous early-stage company equity package.
- Continuing education and training support.
- Hybrid and remote-first work schedule with core hubs in Seattle and San Francisco.
- Opportunity to build something special with a devoted team.
