Staff Applied AI Engineer

Location: Palo Alto, California, United States; hybrid work

Salary: $230,000–$280,000 per year, plus equity and benefits.

Company

hirify.global builds generative AI infrastructure for healthcare, including AI governance guardrails, healthcare-specific agent creation, and real-time algorithm monitoring.

What you will do

• Own the architecture and roadmap for agentic workflow infrastructure in a major product area.
• Partner with product and engineering leads on technical tradeoffs, build-versus-buy decisions, and sequencing.
• Define and apply standards for LLM evaluation, deployment, safety, and monitoring, contributing to organization-wide standards.
• Serve as a technical escalation point for difficult and 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.

Requirements

• Strong software engineering foundation with Python required and experience architecting systems used by multiple teams.
• 7+ years building production software and ML engineering systems, including 2+ years of hands-on production LLM or agentic AI experience.
• Strong machine learning fundamentals and hands-on experience developing, training, fine-tuning, and evaluating ML models across areas such as traditional ML, deep learning, predictive modeling, NLP, or other applied ML disciplines.
• Experience taking ML models from experimentation through production deployment, scaling, monitoring, and ongoing optimization.
• Strong understanding of ML pipelines, model serving, MLOps, and workflow automation for AI-driven systems.
• Experience setting technical direction for a team or product area and gaining adoption from others.
• Ability to work independently on ambiguous, high-stakes problems and influence technical decisions with engineers and non-technical stakeholders.

Nice to have

• Bachelor’s degree plus 9 years or Master’s degree plus 7 years in Computer Science, Engineering, or a related field, or equivalent experience.
• Experience building AI infrastructure in a regulated or high-stakes domain such as healthcare or finance.
• Open-source work, talks, or publications in applied AI or agentic systems.
• Startup experience building systems from the ground up.
• Experience mentoring Senior engineers.

Culture & Benefits

• Fast-growing, mission-driven company building a category-defining healthcare AI product.
• Flexible working hours and hybrid work options.
• Competitive salary with equity packages.
• Medical, dental, and vision insurance.
• Inclusive environment focused on creativity, innovation, and diversity.

Hiring process

• Submit a resume through the application below.