Staff AI Engineer

The role

You will lead the technical design of agentic AI systems for a major area of the Qualified Health platform. You will own the architecture and quality bar for the workflows in your area, work across several teams, and still write code and solve hard technical problems directly.

What you will do

• 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 with Python required, and 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.
• Proven experience taking ML models from experimentation 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.

Nice to have

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

Benefits

• Equity package
• Competitive salary
• Medical, dental and vision insurance
• Flexible working hours
• Hybrid work options

Before you apply

• Qualified Health is an equal opportunity employer.

About the company

Qualified Health is redefining what is possible with Generative AI in healthcare, providing infrastructure for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring. It works alongside leading health systems and is backed by premier investors.