Staff Applied AI Engineer

Job Summary:

We're hiring a Staff Applied AI Engineer to take technical ownership of how we build and scale agentic workflows across Qualified Health's product lines. This role goes beyond shipping individual workflows — you'll set the architectural patterns, reusable infrastructure, and engineering standards that let the rest of the team build faster and more reliably. You'll operate with significant autonomy, driving technical direction on ambiguous problems with minimal oversight, while still being hands-on in the code.

You'll partner closely with engineering leadership, product, and design to translate healthcare-specific AI challenges into scalable systems, and you'll be a technical anchor other engineers look to for guidance on agentic workflow design.

Key Responsibilities:

• Architect and build the core agentic workflow infrastructure supporting 100+ workflows across multiple product lines.
• Set technical standards and reusable patterns (eval pipelines, prompt frameworks, deployment patterns) for agentic workflow development team-wide.
• Lead design and code review for complex, cross-cutting integrations and production services.
• Drive evaluation and adoption decisions for state-of-the-art LLMs (OpenAI, Anthropic, Mistral, etc.) across use cases, including build-vs-buy tradeoffs.
• Mentor engineers on production-grade agentic system design, MLOps practices, and shipping fast without sacrificing reliability.
• Partner with product, engineering, and design leadership to shape the technical roadmap for AI-powered features.
• Identify and resolve systemic bottlenecks in the workflow infrastructure before they block the broader team.

Required Qualifications:

• Strong software engineering foundation (Python required; deep familiarity with production system design).
• 5+ years building production software, including 2+ years building AI-powered applications with LLMs (ChatGPT, Claude, Anthropic, Mistral, etc.).
• Demonstrated experience architecting REST APIs and services deployed at scale in cloud environments (GCP preferred).
• Strong grasp of MLOps, model deployment, and workflow automation — with experience setting standards or infrastructure other engineers build on, not just consuming it.
• Track record of driving technical decisions with significant ambiguity and minimal oversight.

Desirable Skills:

• Bachelor's degree + 7 years OR Master's degree + 5 years in Computer Science, Engineering, or related field (or equivalent experience).
• Background spanning both software engineering and ML/AI systems.
• Experience designing eval pipelines, prompt tuning frameworks, or automation infrastructure at a platform level.
• Startup experience with a demonstrated bias toward shipping fast and scrappily.
• Exposure to both startup agility and the engineering rigor of a mature, at-scale codebase.
• Experience mentoring engineers or setting technical direction for a team.

Why Join Qualified Health?

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

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.