Applied AI Engineer

Qualified Health • Palo Alto, CA

83d • $180,000 - $250,000

About The Position

At Qualified Health, we’re redefining what’s possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change. This is more than just a job. It’s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you’re ambitious, innovative, and ready to move fast, we’d love to have you on board. Join us in shaping the future of healthcare.

Requirements

• Bachelor’s degree + 4 years OR Master’s degree + 2 years in Computer Science, Engineering, or related field.
• Strong software engineering foundation (Python required; solid coding practices).
• Experience building AI-powered applications in the past 1–2 years using ChatGPT, Claude, Anthropic, or Mistral.
• Hands-on experience with REST API development and deploying services into cloud environments (GCP preferred).
• Clear understanding of MLOps, model deployment, or workflow automation in production systems.

Nice To Haves

• Background in software engineering → ML path.
• Experience with agentic workflows or adjacent skills such as prompt tuning, eval pipelines, or automation frameworks.
• Startup experience: demonstrated scrappiness, speed, and bias toward shipping.
• Exposure to both startup agility and big tech engineering rigor is ideal.
• Strong communication skills and ability to collaborate in fast-paced, ambiguous environments.

Responsibilities

• Develop and deploy agentic workflows and automation pipelines (approx. 60% of role).
• Build and maintain production-ready services, REST APIs, and integrations (approx. 30%).
• Ship production solutions in days, not months emphasizing scrappiness and speed.
• Collaborate across product, engineering, and design to deliver end-to-end AI-powered features.
• Evaluate and integrate state-of-the-art LLMs (OpenAI, Anthropic, Mistral, etc.) into production use cases.
• Contribute to building a scalable workflow infrastructure that will support 100+ workflows.

Benefits

• Competitive salaries with equity packages.
• Robust medical/dental/vision insurance.
• Flexible working hours.
• Hybrid work options.
• An inclusive environment that fosters creativity and innovation.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 11-50 employees