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Qualified Health
Qualified Health
51 – 200 Employees
Artificial IntelligenceHealthcareSaaS
Qualified Health is a healthcare-native enterprise AI company serving health systems with a unified platform for deploying, governing, and scaling artificial intelligence. Its SaaS platform connects with clinical, operational, and financial systems, bringing together validated AI solutions, workflow and agent-building tools, integrations, oversight controls, and workforce education. Qualified Health focuses on helping healthcare organizations introduce AI in a safe, compliant, and measurable way across diverse workflows, with reported deployments reaching thousands of users and delivering operational and financial impact.
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Principal AI Engineer

Lead the design of agentic AI infrastructure and governance for Qualified Health’s healthcare platform. Establish company-wide standards for production LLM systems.

USUnited StatesCACalifornia
$230,000 – $280,000 / year
HybridFull-timeLeadEnglish RequiredAI EngineerMachine Learning Engineer
Python

Description

  • Set the long-range architecture and technical strategy for agentic workflow infrastructure across the product portfolio.
  • Represent applied AI engineering in cross-functional and leadership discussions about product direction, build-or-buy choices, and platform investment.
  • Establish organization-wide standards for LLM evaluation, deployment, safety, and monitoring.
  • Resolve the most difficult and ambiguous technical issues across product lines.
  • Coach and develop Staff-level engineers.
  • Contribute to the technical career framework for applied AI roles.
  • Assess emerging models, frameworks, and techniques and recommend which to adopt.
  • Work with founders and engineering leaders to align AI infrastructure investment with company strategy.
  • Write code and tackle challenging technical problems directly.

Requirements

  • Python experience is required.
  • At least 8 years of experience building production software.
  • At least 4 years building and scaling production AI-powered or LLM-driven applications.
  • A record of architecting systems adopted company-wide.
  • Experience setting technical direction and standards adopted across multiple teams.
  • Deep expertise in MLOps, model deployment, and workflow automation at organizational or platform scale.
  • Ability to independently handle ambiguous, high-stakes technical and strategic challenges.
  • A strong record of influencing leadership-level technical decisions, including with non-technical stakeholders.
  • A bachelor’s degree and 10 years of experience, or a master’s degree and 8 years, in computer science, engineering, or a related field; equivalent experience is accepted.
  • Recognized expertise in applied AI or agentic systems.
  • Experience building AI infrastructure in a regulated or high-stakes field.
  • Experience founding or scaling a technical function from the ground up in a startup.
  • Experience mentoring Staff-level engineers and shaping technical career paths.
  • Must be legally authorized to work in the United States for any employer without current or future sponsorship.

Benefits

  • Equity packages.
  • Medical, dental, and vision insurance.
  • Flexible working hours.
  • Hybrid work options.
  • An inclusive environment that encourages creativity and innovation.
  • Competitive salary.

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