Full Stack AI Engineer

KLA•Chandler, AZ

1d•$111,900 - $190,200•Onsite

About The Position

We are seeking an AI Engineer to serve as a technical lead within a growing, operations-aligned engineering team. This role is ideal for someone who combines strong hands-on engineering capability with a passion for mentoring others and shaping how teams build and scale AI systems. You will work alongside data scientists and full-stack engineers to deliver AI-powered solutions across internal tooling, customer-facing features, and the supporting data/ML infrastructure. The team is actively shipping; this role focuses on strengthening technical execution, improving system reliability, and elevating overall engineering practices. While there will be opportunities to take on broader leadership responsibilities over time, the primary focus of this role is technical leadership, delivery, and mentorship. This is not a research-focused role — emphasis is on applied, production systems. Periodic travel may be required.

Requirements

5–8 years of experience building production software systems
At least 2 years working with AI/ML or LLM-based solutions in production environments
Demonstrated ownership of delivering end-to-end AI systems or features
Strong understanding of modern AI development practices (e.g., evaluation, prompt iteration, system integration)
Comfortable working across the stack, including data pipelines, model serving, and application layers
Sound judgment in making technical trade-offs, including build vs. buy decisions
Hands-on experience with LLMs, agent-based systems, or generative AI applications
Familiarity with evaluation frameworks, prompt iteration, and model behavior tuning
Understanding of limitations and failure modes of AI systems, and how to design around them
Experience operationalizing AI workflows (e.g., pipelines, monitoring, feedback loops) in real-world environments
Experience serving as a technical lead or senior engineer on a team
Proven ability to mentor and uplift other engineers
Strong communication skills, including technical documentation and stakeholder engagement
Ability to influence decisions and drive alignment without formal authority
Bachelor's or Master's degree in Computer Science, Electrical Engineering, Data Science, or a related technical field
Five years of related work experience with a Bachelor's Level Degree
Three years of related work experience with a Master's Level Degree
0 years of related work experience with a Doctorate (Academic) Degree
Equivalent work experience

Nice To Haves

Interest in growing leadership scope over time (optional, not required)

Responsibilities

Lead the design, development, and deployment of production AI systems end-to-end
Contribute hands-on to the codebase and set a high bar for engineering quality
Establish scalable patterns for evaluation, deployment, and system reliability
Conduct technical design reviews and guide architectural decisions
Mentor and develop engineers, providing regular coaching and technical guidance
Support hiring efforts, including candidate evaluation and onboarding
Partner with cross-functional stakeholders to align priorities and deliver impactful solutions
Help translate experimentation into stable, production-ready systems