Staff Applied AI Engineer
- $230k–280k/yr
- Posted 3 weeks ago · via Ashby
Hiring in on-site / hybrid only
This employer appears to hire only in the region above. Confirm you're eligible to be hired there before applying.
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
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.
Not quite right? Similar roles hiring now
View all →Employer hires only in specific regions — check eligibility first
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.
Explore related
Market data & reports
Salary & skill-demand research built from our own listings data.
- Skills Remote Employers Ask For in the AI EraMost-named skills in active listings by kind, AI-named skills and the fastest risers. Weekly data.
- Indonesia IT Jobs vs Global Remote (2026)Primary analysis of 2,049 listings: methodology, classification rules, downloadable datasets.
- AI-Skill Demand: Indonesia vs Global Remote (2026)10,000+ postings, taxonomy-first classifier, Wilson CIs, pre-registered before analysis.
- Remote ≠ Remote: The Skills That Open Global Work to Indonesians (2026)12,891 remote listings: the highest-paid coding skills are the most geo-locked for Indonesia-based applicants. CC BY 4.0 aggregate dataset.
- The Compliance Layer of the AI Hiring Stack (2026)6,349 remote listings: 77.2% never state who may apply. Methodology and a CC BY 4.0 aggregate dataset.
- AI in Job Ads: Indonesia vs Global (2026)Global engineering ads naming AI rose from 3.4% to 23% after ChatGPT; Indonesian ads went from 2.2% to 2.8%. 2027 scenarios and a CC BY 4.0 dataset.
- Cron vs LLM vs LangGraph vs Agent for Social Posts (2026)A pre-registered test of four ways to turn a blog post into social posts, on two models. Automated checks picked a cron template; the model mattered more than the framework.
- Indonesia Hiring Report: Tech vs Non-TechJob demand by field from aggregate open-job counts — never individual listings.
- Indonesia Salary BenchmarkAggregate salary ranges across roles, with open methodology and dataset.
- Indonesian Remote Work Salary & Demand IndexHow much of the global remote job corpus is open to Indonesia, and what it pays (USD) by role.
- Indonesia Quarterly Labor Market ReportLayoffs, funding, salaries & skills per quarter — open aggregates.
- Remote Market Reports by RoleAuto-generated per role family — skills, seniority, companies, salary.
- Global Remote Salary BenchmarkAnnual salary by role & currency, plus the share of listings open worldwide.
From the blog
This employer appears to hire only in certain regions.