Staff Applied AI Engineer

Qualified Health

. Lead the technical design of agentic AI systems for a major area of the Qualified Health platform .

Posted 11/12/2026full-timePalo Alto • California • United StatesLead💰 $230,000 - $280,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading the technical design and architecture of agentic AI systems, with a strong foundation in machine learning and experience in deploying and optimizing ML models. Proven ability to mentor engineers and influence technical decisions in high-stakes environments.

Highest-signal resume keywords

Python ProgrammingMachine Learning EngineeringLLM DevelopmentMLOpsTechnical Mentorship

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning FundamentalsModel TrainingModel EvaluationWorkflow AutomationAI Governance

Soft Skills

Problem SolvingInfluencing Technical DecisionsIndependent Work

Tools & Technologies

OpenAIAnthropicMistralAI Infrastructure

Industry Keywords

Healthcare AIAgentic SystemsProduction DeploymentTechnical Standards

Tech Stack

Tools & technologies

Open SourcePython

About the role

Key responsibilities & impact

Lead the technical design of agentic AI systems for a major area of the Qualified Health platform
Own the architecture and roadmap for agentic workflow infrastructure
Partner with product and engineering leads on technical tradeoffs, build-vs-buy decisions, and sequencing
Define and apply standards for LLM evaluation, deployment, safety, and monitoring
Contribute to organization-wide technical standards
Act as a technical escalation point for difficult, ambiguous problems
Mentor Senior engineers and raise the technical bar through design and code review
Evaluate emerging models, frameworks, and techniques, including OpenAI, Anthropic, and Mistral, and recommend adoption
Build AI systems that help transform healthcare through safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring

Requirements

What you’ll need

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
Hands-on experience developing, training, fine-tuning, and evaluating ML models
Experience taking ML models from experimentation 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 gaining adoption
Ability to work independently on ambiguous, high-stakes problems
Ability to influence technical decisions with engineers and non-technical stakeholders
Bachelor’s degree + 9 years OR Master’s degree + 7 years in Computer Science, Engineering, or related field (or equivalent experience)
Experience with AI infrastructure in a regulated or high-stakes domain is desirable
Open source, talks, or publications in applied AI or agentic systems are desirable
Startup experience building systems from the ground up is desirable
Experience mentoring Senior engineers is desirable
Legally authorized to work in the United States for any employer without requiring sponsorship now or in the future

Benefits

Comp & perks

Equity packages
Medical, dental, and vision insurance
Flexible working hours
Hybrid work options
Inclusive environment fostering creativity and innovation