Full Stack AI Engineer

AI Engineer

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. The KLA Services team headquartered in Milpitas, CA is our service organization that consists of Service Sales and Marketing, Spares Supply Chain management, Field Operations, Engineering, Product Training, and Technical Support. The KLA Services organization partners with our field teams and customers in all business sectors to maintain the high performance and productivity of our products through a flexible portfolio of services. Our comprehensive services include: proactive management of tools to identify and improve performance; expertise in optics, image processing and motion control with worldwide service engineers, 24/7 technical support teams and knowledge management systems; and an extensive parts network to ensure worldwide availability of parts. About the Role

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. Key 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 Preferred Qualifications:

Technical Expertise 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 AI / Applied Systems Experience 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 Leadership & Mentorship 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 Interest in growing leadership scope over time (optional, not required) Role Scope Primarily a hands-on technical leadership role Emphasis on delivery, system quality, and team enablement Opportunities to expand into people leadership over time, based on interest and business needs Not a research-focused role — emphasis is on applied, production systems Additional Information Periodic travel may be required Bachelor's or Master's degree in Computer Science, Electrical Engineering, Data Science, or a related technical field Advanced degree (MS or PhD) preferred, particularly with a focus on AI, Machine Learning, or distributed systems Minimum Qualifications Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years;OR equivalent work experience