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Staff Applied AI Engineer

  • $230k–280k/yr
  • Posted 3 weeks ago · via Ashby

Hiring in on-site / hybrid only

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Build scalable AI workflows for healthcare

Architect and build core agentic workflow infrastructure supporting 100+ workflows across multiple product lines. Set technical standards and reusable patterns for team-wide development. Partner with leadership to shape the technical roadmap for AI-powered features.

Why This Role?

Direct founder access, real impact from day one

Key Responsibilities

  • Architect and build core agentic workflow infrastructure supporting 100+ workflows across multiple product lines
  • Set technical standards and reusable patterns for agentic workflow development team-wide
  • Lead design and code review for complex, cross-cutting integrations and production services

Requirements

  • Strong software engineering foundation
  • Python
  • 5+ years building production software
  • Deep familiarity with production system design

Required Skills

pythonmachine-learningsystem-designaimentoringmlopsSoftware EngineeringProduction System Design
View Original Description from Ashby Job BoardsShow more

Original description from Ashby Job Boards

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 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? 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 $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.

Salary Context

Similar Engineering roles on LokerDollar pay around $212.5k/yr (range $5.2k–1000k/yr, n=377 active listings).

Hiring at Qualified Health

Qualified Health has 3 other active roles on LokerDollar and has been hiring here since Aug 18, 2026 — across Engineering, Finance & Accounting.

View all Qualified Health openings →

Market context

  • VERIFIEDStated pay is 20% above the role median of $212,500/year (n=377 pay-disclosing listings).
  • VERIFIEDQualified Health: 11 postings in the last 3 months, 11 all-time on LokerDollar.
  • VERIFIEDCompany first seen Aug 18, 2026.
  • VERIFIEDThis listing first seen Oct 20, 2026.
  • VERIFIEDLast verified live Oct 27, 2026.

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Salary
$230k–280k/yr
See remote (USD) vs local pay →
Job Type
full time
Location
on-site / hybrid · Remote
Category
Seniority
senior
PostedVerified
Oct 1, 2026

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Frequently asked questions

Is Staff Applied AI Engineer at Qualified Health a remote job?
Yes, Staff Applied AI Engineer at Qualified Health is remote, but limited to candidates in United States. Check the listing for location requirements.
What is the salary for Staff Applied AI Engineer at Qualified Health?
The listed pay range for this role is $230k–280k/yr.
What type of employment is Staff Applied AI Engineer at Qualified Health?
This is a full time position.
How do I apply?
Click the "Apply" button on this page to go to the official application at Qualified Health.

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