Specialist, AI Engineer

About this role

Job Title:

Specialist, AI Engineer

Job Description:

The Role 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.  

Success in This Role  

• Delivers reliable, readable code with guidance, incorporating feedback from code reviews.  

• Breaks down requirements into clear tasks, communicates progress early, and asks questions when blocked.  

• Contributes to small   to   medium features (e.g., data prep, API integrations, evaluation scripts) and gradually increases ownership.  

• Practices quality basics: unit tests where appropriate, clear documentation, and safe handling of sensitive data.  

• Learns platform standards (security, privacy, and cost awareness) and applies them consistently.  

• Demonstrates curiosity and   learning,   measuring outcomes, and sharing takeaways with the team.  

What You’ll Do  

Development & Engineering  

• 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.  

Platform & Collaboration  

• 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.  

Delivery & Learning  

• 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.  

Growth & Mentorship  

• 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.  

Responsible AI  

• Follow established guidelines for responsible AI, including security, privacy, and ethical use.  

• Support implementation of guardrails and governance practices defined by the platform.  

Tech Stack & Tools  

• Languages & fundamentals: Python, REST APIs, Git, and basic CI/CD concepts  

• AI/ML & GenAI: model evaluation basics, prompt development, retrieval-augmented generation (RAG), and agent/workflow orchestration concepts  

• Cloud (preferred): Google Cloud Platform (GCP) and services such as Vertex AI, BigQuery, and Dataflow (depending on project needs)  

• Quality & operations: testing, logging/metrics, and basic monitoring for services in development and production  

• Nice to have: Terraform (or other infrastructure-as-code), containers, and data pipelines (ETL/ELT)  

What We Seek  

Required Skills  

• 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.  

Preferred Skills  

• 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.  

Why Work at Entegris  

Lead. Inspire. Innovate. Define Your Future.  

Not everyone who works for a global company shares the same background, experiences, and perspectives. We leverage the differences of our employees to bring new ideas to the table. Every employee throughout the company is encouraged to share input on projects and initiatives. Our decision-making process is truly a collaborative effort as we realize there are leaders at every level of the organization. We put our values at the core of how we operate as an organization—not just when it’s convenient, but in a lasting and meaningful way. We want the time and energy you spend here to have a positive impact on your life inside and outside of the office.  

What We Offer  

Our total rewards package goes above and beyond just a paycheck. Whether you’re looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals.  

• Compensation: $83,500 - $104,500 per year range with actual pay dependent on candidate overall skills for the role  

• Annual bonus eligibility   

• Progressive paid t

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