Staff Applied AI Engineer

About the role

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 a Staff Applied AI Engineer to lead the technical design of agentic AI systems for a major area of the Qualified Health platform. You’ll own the architecture and quality bar for the workflows in your area, work across several teams to get them adopted, and still spend most of your time writing code and solving hard technical problems directly.

Key Responsibilities

• Own the architecture and roadmap for agentic workflow infrastructure in your product area.
• Partner with product and engineering leads on technical tradeoffs, build-vs-buy, and sequencing.
• Define and apply standards for LLM evaluation, deployment, safety, and monitoring within your area, and contribute to org-wide standards.
• Act as a technical escalation point for hard, ambiguous problems on your teams.
• Mentor Senior engineers and raise the technical bar through design and code review.
• Evaluate emerging models, frameworks, and techniques (OpenAI, Anthropic, Mistral, etc.) and recommend what to adopt.

Required Qualifications

• Strong software engineering foundation (Python required) with experience architecting systems used by multiple teams.
• 7+ years building production software and ML engineering, including 2+ years of hands-on production LLM or agentic work.
• Strong foundation in machine learning fundamentals, with hands-on experience developing, training, fine-tuning, and evaluating ML models. Experience may include traditional ML, deep learning, predictive modeling, NLP, or other applied ML disciplines.
• Proven experience taking machine learning models from experimentation and development through production deployment, scaling, monitoring, and ongoing optimization. Strong understanding of ML pipelines, model serving, and MLOps.
• Experience with workflow automation for AI-driven systems.
• Experience setting technical direction for a team or product area and getting others to adopt it.
• Ability to work independently on ambiguous, high-stakes problems.
• Ability to influence technical decisions with both engineers and non-technical stakeholders.

Desirable Skills

• Bachelor’s degree + 9 years OR Master’s degree + 7 years in Computer Science, Engineering, or related field (or equivalent experience).
• Experience building AI infrastructure in a regulated or high-stakes domain (healthcare, finance, etc.).
• Open source, talks, or publications in applied AI or agentic systems.
• Startup experience building systems from the ground up.
• Experience mentoring Senior engineers.

Pay & Benefits

• The pay range for this role is between $230,000 and 280,000, 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.