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Staff AI Engineer

Lead the technical design of agentic AI systems at Qualified Health to transform healthcare with Generative AI.

Location
Palo Alto, CA, United States
Compensation
$230k–$280k/yr
Level
staff
Type
full time · Hybrid

Posted by employer 1 day ago

First seen on Joblaze 11 hours ago

Last verified on the company career page 11 hours ago

Apply at Qualified Health → Save job Scanned from qualifiedhealthai.com

Skills & Technologies

What you'll build

  • Own the architecture and roadmap for agentic workflow infrastructure
  • Partner with product and engineering leads on technical tradeoffs
  • Define and apply standards for LLM evaluation and monitoring
  • Act as a technical escalation point for ambiguous problems
  • Mentor Senior engineers

Must have

  • Strong software engineering foundation (Python required)
  • 7+ years building production software and ML engineering
  • 2+ years of hands-on production LLM or agentic work
  • Strong foundation in machine learning fundamentals
  • Proven experience taking ML models from experimentation to production

Nice to have

  • Bachelor’s degree + 9 years OR Master’s degree + 7 years in Computer Science
  • Experience building AI infrastructure in a regulated domain
  • Open source, talks, or publications in applied AI
  • Startup experience building systems from the ground up
  • Experience mentoring Senior engineers

Role intensity

60% hands-on coding

AI in the day-to-day

Our infrastructure provides guardrails for safe AI governance and real-time algorithm monitoring.

Requirements

Experience
7+ years
Education
Bachelor's degree

Not disclosed in this posting: visa sponsorship.

Benefits

Hybrid Work Options Equity/Stock Options Flexible Working Hours Health Insurance

Joblaze summary

The Staff AI Engineer at Qualified Health will focus on designing and implementing agentic AI systems, ensuring high-quality architecture and workflow integration across teams. Proficiency in Python and extensive experience in machine learning, particularly with large language models, are essential for this role. This position is ideal for seasoned engineers with a strong background in production software and a track record of influencing technical decisions. Qualified Health is a rapidly growing company aiming to innovate within the healthcare sector.

Joblaze insights

  • Listed today — first seen on Joblaze November 14, 2026. Last confirmed on Qualified Health's careers page November 14, 2026.
  • Salary band is above the typical range for AI/ML roles (median ~$188,000).
  • Starts above 46% of 90 comparable staff ai/ml roles in United States that list Python we track (median $230,000 across 38 companies). See Python salary trends
  • Python appears in 46.4% of 261 comparable staff ai/ml roles in United States; MLOps appears in 1.1% of 261 comparable staff ai/ml roles in United States.

Quick facts

Is the Staff AI Engineer role remote?
It's hybrid — Qualified Health expects some on-site time in Palo Alto, CA, United States.
What's the salary range?
Qualified Health lists $230,000–$280,000 for this role.
How much experience is required?
At least 7 years of relevant experience for this Staff AI Engineer role.
Where is the role based?
Qualified Health is hiring for this position in Palo Alto, CA, United States.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, LLM, MLOps, Machine Learning, Python.
What seniority level is this role?
Qualified Health targets staff-level candidates for this position.
Is this full-time or contract?
Full-time for this Staff AI Engineer role at Qualified Health.

From the original posting

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.

 

Job Summary:

We’re hiring a Staff AI Engineer to lead the technical design of agentic AI systems for a major area of the Qualified Health platform. You’ll own the architecture and quality bar for the workflows in your area, work across several teams to get them adopted, and still spend most of your time writing code and solving hard technical problems directly.

Key Responsibilities

  • 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 (Python required) with 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. Experience may include traditional ML, deep learning, predictive modeling, NLP, or other applied ML disciplines.

  • Proven experience taking machine learning models from experimentation and development 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.

Desirable Skills

  • Bachelor’s degree + 9 years OR Master’s degree + 7 years in Computer Science, Engineering, or related field (or equivalent experience).

  • Experience building AI infrastructure in a regulated or high-stakes domain (healthcare, finance, etc.).

  • Open source, talks, or publications in applied AI or agentic systems.

  • Startup experience building systems from the ground up.

  • Experience mentoring Senior engineers.

 

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.

 
 

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.

 

Standard company text repeated across Qualified Health's postings is omitted here.

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