AI Platform Engineer

Notable is the leading healthcare AI platform for transforming workforce productivity. Health systems hospitals and payers use Notable to improve healthcare quality close gaps in patient care drive member enrollment and patient acquisition retention and reimbursement scaling growth without hiring more staff.

We are on a mission to improve the lives of patients staff and clinicians - to improve healthcare for humanity. This isnt just a lofty goal - its something were achieving every single day. When you join Notable you become part of a force actively transforming healthcare. Our aim to impact 100 million patients isnt just a number; its a commitment to creating meaningful change on a massive scale.

Therefore our culture is purposeful in pursuit of this mission. We believe our culture gives each person the opportunity to do the best work of their lives work with the best teammates and have fun achieving great things together.

Role Summary:

Notable builds AI-driven automation for healthcare. As a Senior AI Platform Engineer you will design build and maintain LLM integrations that power AI features across Notables solutions. Youll translate ambiguous problem statements into clear highquality technical plans and own delivery endtoend from ideation and requirements to implementation launch and postdelivery monitoring with a focus on scalability reliability and measurable impact for our customers. Youll also leverage AI agents to increase daytoday efficiency and share learnings that raise the overall quality bar across the engineering environment.

What Youll Do:

• Develop and maintain LLM integrations to power AI features across solutions.

• Ensure scalability reliability and performance of AI features in production.

• Translate abstract requirements into structured sound technical plans and milestones.

• Own implementations endtoend: discovery/requirements design build launch postdelivery monitoring/iterating.

• Evaluate and articulate implications and tradeoffs of technical choices.

• Leverage AI agents to improve development velocity and operational efficiency.

• Collaborate across engineering and adjacent teams to share learnings improve processes and continuously raise quality.

Youre a Great Fit if:

• Strong proficiency in Python for production software.

• Proficiency with Jupyter Notebook or an equivalent environment (e.g. JupyterLab Databricks Colab etc.).

• Demonstrated experience building integrating and operating LLMpowered features/services.

• Ability to decompose ambiguous problems write clear technical plans and execute with high ownership.

• Experience designing for reliability scalability and observability in production systems.

• You leverage AI Agents for day-to-day efficiency.

Nice to Have:

• Terraform and Helm Charts for infrastructure and deployment.

• Google Cloud Platform (e.g. GKE Cloud Run Cloud Storage).

• Typescript for service or UI integrations.

• Postgres for application data modeling and performance.

• Experience with ML/AI platforms agents or orchestration frameworks.

#LI-TD1

We value in-person collaboration and connection. For Bay Areabased employees this role requires being in our San Mateo office at least three days a week. For remote employees occasional travel to headquarters is expected for company-wide events and onsite gatherings.

Beware of job scam fraudsters! Our recruiters use @ email addresses exclusively. We do not conduct interviews via text or instant message to purchase equipment through us or to provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to be a recruiter from Notable from a different domain about a job offer please report it as potential job fraud to law enforcement and contact us here.

Required Experience:

IC