Onos Health
Staff Software Engineer (AI)
$200K–$275K
San Francisco · Hybrid · Staff · Full-time · Posted Oct 1, 2026
- Experience
- 5+ years in production backend or data engineering; relevant LLM-based systems experience is also requested, with no duration specified.
About the job
Own development of AI and data capabilities for a healthcare platform, including models that assess appropriate patient care and integrate recommendations into the product.
What you'll do
- Develop LLM/NLU systems to extract information from clinical records, classify patients by level of care, and make recommendations.
- Create AI evaluation, benchmarking, and governance practices to improve system reliability and scalability.
- Build secure, scalable data pipelines and collaborate on integrating AI/ML into the platform.
What they ask for
- 5+ years building and deploying production applications in a backend or data engineering capacity.
- Relevant experience developing LLM-based systems for unstructured, industry-specific records and integrating them with user-facing features.
- Deep understanding of LLM limitations and practices for producing reliable, consistent, and accurate outputs.
Nice to have
- Experience evaluating medical records against assessment criteria, working with healthcare data and HIPAA best practices, or building data pipelines.
- Experience as a generalist backend engineer or knowledge of modern LLM/ML infrastructure and MLOps.
Pay
$200K – $275K USD base salary
Tools
AWS, Docker, Github Actions, Python, Django, Celery, PostgreSQL, S3
AI focus
Develop LLM/NLU systems to extract evidence from medical records, classify patient level of care, recommend care, evaluate adherence to clinical guidelines, and provide explainable decisions; establish evaluation, benchmarking, and governance practices.
Model-written summary · the original posting is authoritative