Applied AI Engineer

Transform healthcare with us.

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.

Job Summary:

We’re hiring an Applied AI Engineer to focus on building and scaling real-world AI workflows. This role is designed for engineers who are hands-on with deploying generative AI applications. You’ll spend the majority of your time developing agentic workflows and production-grade integrations across multiple of our product lines.

You’ll work closely with product and engineering teammates to design, deploy, and scale AI-powered applications that solve real problems in healthcare.

Key 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

Required Qualifications:

• 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.

Desirable Skills:

• Bachelor’s degree + 4 years OR Master’s degree + 2 years in Computer Science, Engineering, or related field.

• 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 the engineering rigor of a mature, at-scale codebase is ideal

• Strong communication skills and ability to collaborate in fast-paced, ambiguous environments.

Why Join Qualified Health?

This is an opportunity to join a fast-growing company and a world-class team, that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers.

Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation.

Our Commitment to Diversity

Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.

Pay & Benefits

The pay range for this role is between $180,000 and $250,000, depending on skills, qualifications, experience, and location. This role is also eligible for equity and benefits.

Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.