Notable Inc. logo

AI Platform Engineer

Job Overview

Location

San Mateo, CA

Job Type

Full-time

Category

Software Engineering

Date Posted

June 13, 2026

Full Job Description

đź“‹ Description

  • • Design, build, and maintain LLM integrations that power AI features across Notable’s healthcare solutions.
  • • Ensure scalability, reliability, and performance of AI-driven features in production environments.
  • • Translate ambiguous, high-level problem statements into structured technical plans with clear milestones and deliverables.
  • • Own end-to-end delivery of AI features: from ideation and requirements gathering, through design, implementation, launch, and post-launch monitoring and iteration.
  • • Evaluate technical trade-offs and articulate implications of architectural decisions to stakeholders across engineering and product teams.
  • • Leverage AI agents to improve development velocity, automate routine tasks, and enhance operational efficiency in day-to-day workflows.
  • • Collaborate cross-functionally with engineering and adjacent teams to share learnings, refine processes, and raise the overall quality bar across the engineering organization.
  • • Build and maintain production-grade software using Python as the primary language for AI system development.
  • • Utilize Jupyter Notebook or equivalent environments (e.g., JupyterLab, Databricks, Colab) for prototyping, experimentation, and data analysis.
  • • Monitor and optimize AI systems for reliability, observability, and measurable customer impact in real-world healthcare settings.
  • • Contribute to the continuous improvement of engineering practices by documenting patterns, sharing insights, and mentoring peers on AI integration best practices.
  • • Participate in company-wide events and onsite gatherings at headquarters, with expectations for remote employees to travel occasionally.
  • • Work in alignment with Notable’s mission to improve healthcare quality, close patient care gaps, drive enrollment and retention, and scale growth without increasing headcount.
  • • Operate within a purpose-driven culture focused on impacting 100 million patients through scalable, AI-powered healthcare solutions.

🎯 Requirements

  • • Strong proficiency in Python for production software development
  • • Demonstrated experience building, integrating, and operating LLM-powered features or 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
  • • Proficiency with Jupyter Notebook or equivalent environments (e.g., JupyterLab, Databricks, Colab)
  • • You leverage AI Agents for day-to-day efficiency

🏖️ Benefits

  • • Opportunity to work on AI systems that directly impact healthcare quality and patient outcomes at scale
  • • Collaborative, purpose-driven culture focused on doing the best work of your life with top-tier teammates
  • • Occasional travel to headquarters for company-wide events and onsite gatherings
  • • In-person collaboration opportunities for Bay Area-based employees with three days per week in the San Mateo office

Skills & Technologies

Python
TypeScript
PostgreSQL
GCP
Terraform
Remote

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About Notable Inc.

Notable Inc. is a technology company focused on revolutionizing the healthcare industry through its AI-powered platform. The company provides a comprehensive solution that automates administrative tasks, streamlines clinical workflows, and enhances patient engagement. Notable's technology leverages natural language processing and machine learning to extract relevant information from unstructured data, such as physician notes and patient histories. This allows healthcare providers to reduce administrative burden, improve documentation accuracy, and spend more time on patient care. The platform integrates seamlessly with existing electronic health record (EHR) systems, offering a scalable and efficient way to modernize healthcare operations. Notable aims to improve the overall efficiency and quality of care delivery.

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