Specialist, AI Engineer

Entegris • Bedford, MA

4d • Onsite

About The Position

Entegris is seeking a Junior AI Engineer to join our IT Digital Platform AI team. In this role, you’ll contribute to AI powered solutions while building hands on experience with modern machine learning and generative AI patterns (e.g., retrieval-augmented generation, tool calling, and workflow orchestration) on cloud-based platforms. You’ll work closely with senior engineers, data teams, and business stakeholders to help design, build, test, and deploy AI solutions that address real business challenges. You’ll start with well scoped tasks and grow your ownership over time through mentorship, pairing, and code reviews.

Requirements

• Bachelor’s degree (completed or in progress) in Computer Science, AI, ML, or a related field, or equivalent experience; 0–2 years of experience (internships/co-ops/projects welcome).
• Foundational knowledge of Python and basic AI/ML concepts.
• Familiarity with cloud platforms (GCP preferred but not required).
• Understanding of software development fundamentals (Git, version control, basic CI/CD concepts).
• Strong willingness to learn new technologies and problem-solve in a team environment.
• Good communication skills and the ability to collaborate with technical and non-technical stakeholders.

Nice To Haves

• Exposure to LLMs, prompt engineering, or generative AI concepts.
• Basic understanding of agentic AI concepts or orchestration patterns.
• Familiarity with GCP services such as Vertex AI, BigQuery, or Dataflow.
• Experience with REST APIs and integrating external services.
• Awareness of data processing concepts (ETL/ELT).
• Exposure to infrastructure-as-code tools (e.g., Terraform) is a plus.

Responsibilities

• Support the design, development, and deployment of AI solutions, including LLM based and agent driven applications, with guidance from senior engineers.
• Write, test, and maintain code for AI/ML solutions using Python and modern frameworks.
• Assist in building and integrating AI agents and services within the enterprise platform.
• Contribute to prompt development, evaluation, and basic observability practices (e.g., logging, metrics) with guidance and established patterns.
• Work within the enterprise AI platform, learning and following established architecture patterns, development standards, and secure coding practices.
• Collaborate with Cloud, Data, and Security teams to implement solutions aligned with enterprise guidelines.
• Participate in team discussions, sprint planning, and code reviews to continuously improve delivery quality.
• Help translate business requirements into technical tasks and AI driven capabilities.
• Support the deployment and monitoring of AI solutions in development and production environments.
• Learn and apply best practices for scalability, security, and cost-efficient AI solutions.
• Learn from senior engineers through mentorship, pairing, and code reviews.
• Continuously build knowledge in AI/ML, agentic systems, and cloud technologies.
• Contribute to a culture of learning, collaboration, and continuous improvement.
• Follow established guidelines for responsible AI, including security, privacy, and ethical use.
• Support implementation of guardrails and governance practices defined by the platform.

Benefits

• Annual bonus eligibility
• Progressive paid time off policy that empowers you to take the time you need to recharge
• Generous 401(K) plan with an impressive employer match with no delayed vesting
• Excellent health, dental and vision insurance packages to fit your needs
• Education assistance to support your learning journey
• A values-driven culture with colleagues that rally around People, Accountability, Creativity and Excellence

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level