Job Title:Specialist, AI Engineer
Job Description:The RoleEntegris 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.
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
- 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
Entegris does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need Entegris immigration sponsorship (e.g., H1B, TN, STEM OPT, etc.) now or in the future.
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