Q

Qualified Health

Data-driven healthcare compliance and security

Senior Staff AI Engineer

Applied Machine LearningPosted on Nov 12
Full-timePalo Alto, CA, USAHybrid

About the Job

Requirements

  • Python proficiency and a strong software engineering foundation, with experience architecting systems used across multiple teams.
  • At least 9 years of experience building production software and ML engineering, including at least 2 years of hands-on production LLM or agentic work.
  • Strong foundation in machine learning fundamentals and hands-on experience developing, training, fine-tuning, and evaluating ML models, such as traditional ML, deep learning, predictive modeling, NLP, or other applied ML disciplines.
  • Experience taking machine learning models from experimentation and development through production deployment, scaling, monitoring, and ongoing optimization, including at the platform level; strong understanding of ML pipelines, model serving, and MLOps.
  • Deep expertise in workflow automation for AI-driven systems at a platform level.
  • Experience setting technical direction and standards adopted across more than one product line.
  • Ability to operate with high autonomy on ambiguous, high-stakes problems.
  • Track record influencing technical decisions with engineering leadership and non-technical stakeholders.

Responsibilities

  • Define the technical architecture and roadmap for agentic workflow infrastructure shared across multiple product lines.
  • Partner with engineering leadership on build-versus-buy and platform investment decisions.
  • Set engineering standards for LLM evaluation, deployment, safety, and monitoring across several teams, and help shape the company’s AI governance approach.
  • Act as a technical escalation point for high-ambiguity problems that cross product lines.
  • Mentor and develop Staff and Senior engineers and contribute to the applied AI career ladder.
  • Track developments from OpenAI, Anthropic, Mistral, and other frontier AI organizations, and decide what is worth adopting.

Desired Qualifications

  • Bachelor’s degree and 11 years of experience, or Master’s degree and 9 years of experience, in Computer Science, Engineering, or a related field, or equivalent experience.
  • Recognized expertise in applied AI or agentic systems demonstrated through talks, publications, open source, or prior platform-level roles.
  • Experience building AI infrastructure in a regulated or high-stakes domain such as healthcare or finance.
  • History of building or scaling a technical function in a startup.
  • Experience mentoring Staff-level engineers.

About the Company

Qualified Health

Data-driven healthcare compliance and security

Qualified Health AI provides data-driven software solutions for United States healthcare providers to manage patient data and meet regulatory requirements. The platform collects and processes healthcare information to streamline administrative tasks and support clinical decision-making, using automated tools while ensuring HIPAA compliance, privacy, and security. Beyond data processing, it plans collaborative features such as blogs and teaching games to facilitate knowledge sharing and professional development among healthcare professionals. The company differentiates itself by combining regulatory compliance services with community-building and educational tools, aiming to offer a single ecosystem where providers optimize daily operations, protect patient privacy, and foster continuous learning.

Company size
51-200
Company stage
Early VC
Total funding
$165.1M
Headquarters
Palo Alto, CA
Founded
2023

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