Co-Op AI Engineer — Build Production AI at Scale

ASML

4S Ranch (CA)

Hybrid

USD 34,000 - 55,000

Part time

4 days ago
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Job summary

ASML in San Diego, CA is seeking an AI Engineer Co-Op to design, develop, and operationalize AI solutions that support ASML's business and technology objectives. You will work with AI architects, engineers, and platform teams to deliver production-ready prototypes.

You will build AI-powered applications using LLMs, agent frameworks, RAG, and MLOps practices; engage in code reviews and agile ceremonies; produce technical documentation and onboarding materials.

Qualifications

  • Enrolled in a Bachelor's or Master's program in CS/AI/DS/SE or related field.
  • Solid Python programming experience.
  • Familiarity with ML/LLMs/GenAI or agent-based systems.
  • Experience with Git, software development practices, and cloud technologies.
  • Exposure to Azure AI, Azure ML, Databricks, LangChain, Semantic Kernel, OpenAI, Mistral or similar.
  • Strong analytical and problem-solving abilities.
  • Excellent communication and collaboration skills.

Responsibilities

  • Collaborate with AI architects and engineers to design and build AI solutions.
  • Develop and test prompts, AI workflows, RAG, and agent-based systems.
  • Contribute to secure, governed AI deployments on enterprise platforms.
  • Support MLOps and AI governance capabilities.
  • Assist in documentation and agile ceremonies.

Skills

Python
ML/AI concepts
Git
Cloud technologies
Communication & collaboration
Problem-solving

Education

Bachelor's or Master's degree in CS/AI/DS/SE

Tools

Azure AI/ML
Databricks
LangChain
Semantic Kernel
OpenAI
Mistral
Azure ML

Job description

ASML in San Diego, CA is seeking an AI Engineer Co-Op to design, develop, and operationalize AI solutions that support ASML's business and technology objectives. You will work with AI architects, engineers, and platform teams to deliver production-ready prototypes.

You will build AI-powered applications using LLMs, agent frameworks, RAG, and MLOps practices; engage in code reviews and agile ceremonies; produce technical documentation and onboarding materials.

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