AI Engineer

Axcelis Technologies•Beverly, MA

6d•Hybrid

About The Position

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. This is an exceptional opportunity to do innovative work in the fast-growing field of the Semiconductor Industry. Come work for a company that has been named: Axcelis named to Forbes 2024 America’s Best Mid-Size Companies List – Ranking #6 out of 100. Axcelis named to Fortune 2023 Fastest Growing Companies List – Ranking #10 By Fortune 2022 Fastest Growing Companies List – Ranking #54 out of 100 companies. By the Boston Globe Named to the Top 100 Women-Led Businesses for the last 20 years Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all the qualifications but have sufficient experience and talent. This is a hybrid in office / remote role. We are seeking a highly skilled Artificial Intelligence Engineer with a strong background in Generative AI to join our team. In this role, you will be responsible for designing, developing, and implementing advanced AI solutions aimed at optimizing equipment performance and enhancing 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 in real-world scenarios to solve complex operational challenges.

Requirements

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 TensorFlow 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.

Responsibilities

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.