AI Engineer

Overview

At Axcelis Technologies, we are at the forefront of innovation, driving digital transformation to enhance our business processes and deliver exceptional value to our customers. We pride ourselves on our cutting‑edge technology and commitment to excellence, and we are seeking a highly skilled and experienced Artificial Intelligence Engineer to join our dynamic team.

Artificial Intelligence (AI) Engineer

We are seeking a highly skilled Artificial Intelligence Engineer with a strong background in Generative AI. In this role, you will design, develop, and implement advanced AI solutions to optimize equipment performance and enhance operational efficiency. Your work will directly contribute to reducing downtime and driving innovation across our operations. The ideal candidate is passionate about cutting‑edge AI technologies and has a proven track record of applying Generative AI to solve complex operational challenges.

• Design and build AI agent frameworks to streamline complex workflows, improve decision‑making, and support autonomous task execution.
• Architect event‑driven AI systems using technologies like Redis pub/sub, Kafka, or cloud‑native messaging services to support real‑time inference and continuous feedback.
• Customize and deploy large language models (e.g., GPT‑4, Claude, Llama
  3) for domain‑specific use cases, ensuring alignment with organizational goals.
• Enhance AI agent effectiveness through techniques such as prompt engineering, retrieval‑augmented generation (RAG), and reinforcement learning.
• Establish monitoring frameworks using tools like MLflow or Weights & Biases to track model performance, detect drift, and manage resource consumption.
• Deploy scalable AI agents on Kubernetes across Azure, AWS, or GCP with an emphasis on serverless frameworks such as Cloud Functions and AWS Lambda.
• Integrate with cloud‑native AI platforms like Azure ML, ensuring strict adherence to data privacy and compliance requirements.
• Work closely with cross‑functional teams, including data scientists, engineers, and IT professionals, to ensure successful implementation and adoption of AI solutions.

• Bachelor’s degree in Artificial Intelligence, Computer Science, or a related field.
• 5+ years of hands‑on experience in Artificial Intelligence/Machine Learning, with a solid foundation in generative AI applications, deep learning, and natural language processing.
• Demonstrated success as an AI Engineer, with strong expertise in Python and leading AI frameworks like Tensor Flow or PyTorch, and cloud‑based AI platforms such as Azure OpenAI.
• Skilled in designing and implementing AI agent architecture and operations workflows.
• Strong analytical and problem‑solving abilities with a focus on optimizing model performance.
• Passion for building impactful solutions with speed and clarity in a fast‑paced work environment.
• Excellent communication skills, capable of explaining technical concepts to non‑technical stakeholders.

It is the policy of Axcelis to provide equal opportunity in all areas of employment for all persons free from discrimination based on race, sex, religion, age, color, national origin, disability status, medical condition (including pregnancy), veteran status, sexual orientation, marital status, or any other characteristic protected by federal, state or local law. Axcelis will provide reasonable accommodation necessary to enable a disabled candidate or employee to perform the essential functions of the position, unless the accommodation would create an undue hardship for the Company.

U.S. BASE SALARY RANGE: $ - $. This range reflects the typical compensation for this role across U.S. locations. Salary ranges are determined by role and level; individual pay is determined based on multiple factors including job‑related skills, experience, relevant education or training, work location, and internal equity. Base pay is one part of our U.S. total compensation package which includes eligibility in the Axcelis Team Incentive bonus plan and a comprehensive benefits package (for regular employees working 20+ hours a week).