AI Platform Engineer
About The Position
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 isn't just a lofty goal - it's something we're achieving every single day. When you join Notable, you become part of a force actively transforming healthcare. Our aim to impact 100 million patients isn't just a number; it's 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 Notable’s solutions. You’ll translate ambiguous problem statements into clear, high‑quality technical plans and own delivery end‑to‑end — from ideation and requirements, to implementation, launch, and post‑delivery monitoring — with a focus on scalability, reliability, and measurable impact for our customers. You’ll also leverage AI agents to increase day‑to‑day efficiency and share learnings that raise the overall quality bar across the engineering environment.
Requirements
- 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 LLM‑powered 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 Haves
- 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.
Responsibilities
- 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 end‑to‑end: discovery/requirements → design → build → launch → post‑delivery monitoring/iterating.
- Evaluate and articulate implications and trade‑offs 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.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
