Graduate AI Engineer Intern: Build AI-powered Enterprise Apps

KLA

Ann Arbor Charter Township (MI)

On-site

USD 33,000 - 55,000

Full time

4 days ago
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Job summary

KLA is seeking a Graduate AI Engineer Intern to help build AI-enabled enterprise systems. You will design, train, evaluate, deploy and operationalize AI solutions that solve real business challenges, combining software engineering with ML/LLM expertise.

You will work on intelligent applications, AI agents, enterprise copilots and domain-specific AI solutions, building APIs and microservices to expose AI capabilities.

Qualifications

  • Currently enrolled graduate student or PhD in Computer Science, Software Engineering, Mathematics, or related fields.
  • Familiar with programming languages and frameworks, including but not limited to: C/C++/C#/Python/Java/JavaScript/Vue/AngularJS/PHP.
  • Solid knowledge of CS and SW engineering: DSA, multithreading, OOP, design patterns, etc.
  • Experience with projects related to AI / LLM / AI Agents is preferred.

Responsibilities

  • Train, tune, and deploy machine learning models.
  • Build predictive and classification models.
  • Design and implement Retrieval Augmented Generation (RAG) architectures.
  • Design and develop AI-powered business applications.
  • Build APIs and microservices that expose AI capabilities.
  • Understanding of Back-end system design.
  • Develop reusable AI components and SDKs for enterprise adoption.

Skills

C/C++
C#
Python
Java
JavaScript
Vue
AngularJS
PHP
DSA
Multithreading
OOP
Design patterns

Education

Graduate student or PhD in Computer Science / Software Engineering / Mathematics or related fields

Job description

KLA is seeking a Graduate AI Engineer Intern to help build AI-enabled enterprise systems. You will design, train, evaluate, deploy and operationalize AI solutions that solve real business challenges, combining software engineering with ML/LLM expertise.

You will work on intelligent applications, AI agents, enterprise copilots and domain-specific AI solutions, building APIs and microservices to expose AI capabilities.

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