Full Stack AI Engineer

KLA-Belgium; Ann Arbor (MI); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Equal Opportunity Employer

Job summary

KLA-Belgium in Ann Arbor, Michigan is seeking an AI Engineer to provide technical leadership within an operations-aligned engineering team. This role combines engineering expertise with mentorship, focusing on escalating AI system capabilities and practices.

The ideal candidate has extensive experience with production AI/ML systems and will engage in hands-on technical contributions, while fostering team growth and delivering impactful solutions.

Qualifications

• 5-8 years of experience in building production software.
• At least 2 years’ experience with AI/ML in production.
• Ability to mentor and uplift engineers.

Responsibilities

• Lead the design and deployment of production AI systems.
• Contribute to the codebase and ensure engineering quality.
• Conduct technical design reviews and guide architecture.

Skills

AI/ML systems

Production software systems

Technical leadership

Mentoring

Cross-functional collaboration

Education

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science

Tools

AI frameworks

Data pipelines

Job description

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

• 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.
• 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 Requirements

• 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.

Equal Opportunity Statement

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.