Forward Deployed Engineer

Astrana Health, Inc.Monterey Park, CA
$100,000 - $140,000Hybrid

About The Position

Astrana is building a high-impact AI transformation team focused on solving the most important problems across the business. The role is straightforward: identify where the organization is losing time, outcomes, or value - and build systems that fix it. This means working directly with the people running our markets, understanding how the work actually gets done, and building entirely new tools, automations, and applications from the ground up. This position operates under a hybrid work model, with a combination of in-office and remote work each week. Office locations include Monterey Park, CA; Orange County, CA; and Las Vegas, NV.

Requirements

  • Experience building and deploying production systems
  • Strong technical fundamentals and problem-solving ability
  • 1-3 years of experience in software engineering, data engineering, ML, AI, or related fields (flexible for exceptional candidates)
  • You have built and shipped systems that real users depend on
  • You have worked with real-world, messy data
  • You have hands-on experience with LLMs, RAG systems, agents, or applied ML
  • You can go from idea to working product quickly
  • You have taught yourself tools or technologies

Nice To Haves

  • B.S., M.S., PhD in Computer Science, Mathematics, Physics, or a related technical field

Responsibilities

  • Build an AI-driven tool to help care teams prioritize high-risk patients
  • Automate a workflow that is currently manual and impacting revenue or cost
  • Deploy an LLM-based system on top of messy clinical or claims data
  • Create internal tools that providers and operators rely on every day
  • Work directly with clinical, operations, and market teams to understand how work actually happens
  • Identify high-impact problems affecting cost, quality, and patient outcomes
  • Rapidly design and build tools, automations, and AI systems used in production
  • Work with complex, messy datasets (clinical, claims, operational)
  • Build across the stack: data pipelines, APIs, models, and user-facing applications
  • Iterate quickly based on real-world feedback
  • Help shape how technology is adopted across the organization

Benefits

  • Potential for equity participation
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