SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 230,000 - 280,000 / annual
Qualified Health is building generative AI infrastructure for healthcare, providing guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring. We're seeking a Principal Applied AI Engineer to set the technical vision for how the company builds agentic AI systems across the entire product portfolio.
This is a company-level technical leadership role. You will shape multi-year infrastructure strategy, represent engineering in leadership decisions about AI direction, and set the bar for what "production-grade agentic AI in healthcare" means at Qualified Health. While you'll still write code and dive into hard technical problems directly, your primary impact will be through the systems, standards, and people you influence across teams.
Key responsibilities include:
- Define multi-year technical strategy and architecture for agentic workflow infrastructure supporting the full product portfolio (100+ workflows and growing)
- Represent applied AI engineering in cross-functional and leadership-level decisions on product direction, build-vs-buy, and platform investment
- Set org-wide engineering standards for LLM evaluation, deployment, safety, and monitoring, informing the company's broader AI governance approach
- Act as a technical escalation point for the hardest, highest-ambiguity problems across product lines
- Mentor and develop Staff-level engineers; help shape the technical career ladder for applied AI roles
- Stay ahead of the frontier by evaluating emerging models, frameworks, and techniques (OpenAI, Anthropic, Mistral, etc.) and determining what's worth adopting
- Partner with founders and engineering leadership on how AI infrastructure investment ties to company strategy
Qualified Health is a seed-stage, venture-backed company poised to change the healthcare industry. The team is mission-driven and building a category-defining product. The company offers competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options, and an inclusive environment.
REQUIREMENTS:
- Deep software engineering foundation (Python required) with a track record of architecting systems used company-wide
- 8+ years building production software, including 4+ years building and scaling AI-powered/LLM-driven applications in production
- Proven experience setting technical direction and standards adopted across multiple teams, not just a single product line
- Deep expertise in MLOps, model deployment, and workflow automation at an organizational/platform level
- Demonstrated ability to operate with full autonomy on ambiguous, high-stakes technical and strategic problems
- Strong track record influencing technical decisions at the leadership level, including with non-technical stakeholders
DESIRABLE:
- Bachelor's degree + 10 years OR Master's degree + 8 years in Computer Science, Engineering, or related field (or equivalent experience)
- Recognized expertise (internally or externally—talks, publications, open source, prior platform-level roles) in applied AI/agentic systems
- Experience building AI infrastructure in a regulated or high-stakes domain (healthcare, finance, etc.)
- History of founding or scaling a technical function from the ground up in a startup environment
- Experience mentoring Staff-level engineers and shaping technical career ladders
