Staff AI Engineer

present of AI; Palo Alto (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Qualified Health in Palo Alto is seeking a hands-on technical leader to design agentic AI systems for a core healthcare platform, setting quality bars and writing code daily. You will shape architecture, guide model choices, and drive governance across teams while mentoring senior engineers.

You will gain direct experience deploying monitored, governed AI in healthcare, evaluating LLMs, and building standards that scale across the organization, partnering with product and data teams to deliver

Qualifications

• Experience designing production AI systems in healthcare contexts.
• Ability to set technical direction and drive adoption across teams.
• Proven track record writing quality code daily.
• Strong mentorship and cross-team leadership.

Responsibilities

• Design agentic AI workflows for healthcare platform components.
• Set quality bar and governance standards.
• Lead and mentor senior engineers across teams.
• Collaborate with product partners to shape architecture.

Skills

Hands-on leadership

ML systems

LLM/agent work

Mentoring engineers

Tools

Python

ML frameworks

MLOps

Monitoring

Job description

This role asks for a hands on technical leader who designs agentic AI systems for one major part of a healthcare platform, sets the quality bar, and still writes code most days. A strong candidate brings years of production software and ML work, including recent hands on LLM or agent work, plus a record of taking models from experiment to deployed and monitored systems. The person also needs to set technical direction across teams and get others to adopt it, while mentoring senior engineers.

How it fits the AI era

The work sits at the center of the AI shift, since the role builds the agent workflows and the evaluation, safety, and monitoring standards around them. Model choice and framework selection change quickly, so part of the job is judging what to adopt and what to leave. What stays human is the architecture judgment, the tradeoff calls with product partners, and the mentoring that raises a team's bar.

How it builds AI experience

Someone here would gain direct experience building governed agent systems for healthcare, including LLM evaluation, deployment, and real time monitoring under strict guardrails. They would also learn to compare and adopt models from several vendors and to shape org wide standards for safe AI. Building that background means showing past production LLM or agent work and evidence of setting standards others followed.

Worth showing

• Production LLM agent systems
• ML model deployment and monitoring
• LLM evaluation and safety standards
• Cross team technical leadership

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Qualified Health

Qualified Health provides a healthcare-native enterprise AI platform that unifies workflows, use cases, and models under a single governed operating layer, per the company.

Tools mentioned: machine learning, Python, deep learning, NLP, MLOps