Notable

AI Platform Engineer

NotableYesterday
Location

San Mateo, CA

Type

Full Time

Salary

USD 170,000 – 205,000

Level

Senior

Role

AI Platform Engineer

Posted

Jun 12, 2026

Full TimeSenior

The role

Summary

Notable is seeking a Senior AI Platform Engineer to design, build, and maintain Large Language Model (LLM) integrations that power AI features across their healthcare automation platform. The ideal candidate will drive end-to-end implementation of scalable AI solutions, translating complex requirements into high-impact technical plans while contributing to the company's mission of transforming healthcare workforce productivity.

What you'll do

LLM Integration Development: Develop and maintain Large Language Model integrations to power AI features across Notable's healthcare solutions
System Performance Optimization: Ensure scalability, reliability, and high-performance production of AI features
Technical Planning: Translate abstract requirements into structured, actionable technical plans and milestones
End-to-End Ownership: Manage full project lifecycle from discovery and requirements to design, implementation, launch, and post-delivery monitoring
Technical Decision Making: Evaluate and articulate technical trade-offs and implications of architectural choices
AI Efficiency Enhancement: Leverage AI agents to improve development velocity and operational efficiency
Cross-Team Collaboration: Collaborate across engineering and adjacent teams to share learnings and continuously improve processes

What we look for

Technical

Programming ProficiencyStrong production-level Python programming skills
AI/ML EnvironmentExpertise with Jupyter Notebook or equivalent environments like JupyterLab, Databricks, or Colab
LLM IntegrationDemonstrated experience building, integrating, and operating LLM-powered features and services

Education

Advanced DegreeBachelor's or Master's degree in Computer Science, Software Engineering, or related technical field preferred

Experience

Problem DecompositionProven ability to break down complex, ambiguous problems and create clear technical execution plans
Production System DesignExperience designing for reliability, scalability, and observability in production environments
AI Agent UtilizationDemonstrated capability of leveraging AI agents for daily operational efficiency

Skills

Required skills

PythonProduction-level Python programming
LLM IntegrationLarge Language Model integration and development
Technical PlanningAbility to create structured technical plans and milestones

Nice to have

TerraformInfrastructure as Code using Terraform
Google Cloud PlatformExperience with GKE, Cloud Run, Cloud Storage
TypescriptService or UI integration capabilities
PostgresApplication data modeling and performance optimization
ML PlatformsExperience with AI/ML platforms, agent frameworks, or orchestration tools

Compensation & benefits

Salary

USD 170,000 – 205,000 (annual)

Stock options

Available

Benefits

Healthcare Coverage

Comprehensive medical, dental, and vision insurance

Equity Compensation

Stock options in a high-growth healthcare AI startup

Professional Development

Opportunities for continuous learning and career growth in AI and healthcare technology

Mission-Driven Culture

Work with a company committed to transforming healthcare and improving patient outcomes


Interview process

  1. 1
    Initial Screening Phone or video call with recruiting team to discuss background and role fit
  2. 2
    Technical Assessment Coding challenge and system design evaluation focused on AI and LLM integration skills
  3. 3
    Technical Interviews Multiple rounds of interviews with senior engineering team, covering technical expertise, problem-solving, and cultural alignment
  4. 4
    Final Interview Meeting with hiring manager and potential team members to discuss role expectations and team dynamics

Apply for this position

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