Reimagining healthcare delivery through state-of-the-art AI capabilities.
Requirements
- 3+ years of experience in AI Engineering, specifically building and successfully shipping production AI products.
- Strong practical experience with LLMs, AI APIs, Prompt Engineering, Python, Machine Learning, and Vectorization.
- Familiarity with deployment and scaling technologies, including Docker, Kubernetes, AWS, GCP, or Azure.
Responsibilities
- Integrate and deploy LLMs and other custom AI tools to automate clinical logic and transform patient/clinician experiences.
- Monitor and continuously optimize the performance, latency, and cost-efficiency of AI models and supporting backend systems.
- Ensure the security, privacy, and integrity of sensitive user data, strictly adhering to HIPAA and other relevant regulations.
- Develop engineering processes and tools to support faster AI product development and scaling (e.g., model invocation efficiency).
- Collaborate closely with clinical and design experts to deeply understand and re-engineer clinical workflows using state-of-the-art AI.
- Delve into clinical content, guidelines, and medical research to identify major inefficiencies and key opportunities for AI-driven automation and redesign.
Other
- A disciplined, builder-at-heart mentality with a drive to tackle complex, ambiguous problems in a regulated environment.
- Deep motivation to make a significant impact on healthcare delivery and improve patient/clinician experiences.
- Willingness to work 5 days in-office in Albuquerque, NM.
- TN visas are available. H1B sponsorship will be considered only for truly exceptional candidates.
- Founding Equity: Generous equity grant of 3-5% in a high-impact venture, designed to reward long-term commitment and co-founder mentality.
