Intelligent Systems Engineering Intern

Do you have a strong work ethic and the desire to join an organization that invests in its people through cross-training and development? ClarkDietrich fosters a work-life balance and offers competitive compensation and benefits. Join the ClarkDietrich team by applying to the Intelligent Systems Engineer Intern position at our Merrillville, IN location.

Summary

The ClarkDietrich Engineering Services (CDES) Intelligent Systems Engineer Intern role is a cross-functional position where a foundational understanding of AI, back-end development, or user interface design is required. The position will also involve applying Agentic AI, LLMs, and automation to real world engineering problems.

Essential Duties And Responsibilities

• Assist with implementing AI models into server-side applications
• Help coordinate with IT team to ensure server systems requirements are met for AI deployment
• Help train and fine-tune models under guidance of ML Engineer including dataset preparation, parameter tuning, and validating performance before integration into production systems
• Collaborate with other developers to build user interfaces that expose AI functionality to users
• Prepare, clean, and structure engineering datasets for ML workflows
• Build and test API connections between ML models and back-end applications
• Collaborate with front-end developers and system engineers to integrate AI-driven functionality into intuitive user interfaces
• Help implement agentic workflows and prompt engineering strategies using LLMs
• Contribute to system integration efforts across services (AI, UI, data pipelines, back-end)
• Document tools, workflows, and models as part of technical handoff and validation processes
  
  

Supervisory Responsibilities: N/A

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Preferred Qualifications

• Experience in:
• Python, JavaScript/TypeScript, or C#
• AI/ML frameworks
• Back-end development and API integration
• Front-end technologies
• Knowledge of AI/ML model development, training, and integration
• Experience with system integration between back-end, front-end, and ML pipelines
• Exposure to data engineering & analysis
• Experience with the development of tools and interfaces for intelligent automation
• Exposure to ethical & security considerations for safeguarding AI-driven systems
• Familiarity with Agentic AI concepts and LLM fine-tuning
  
  

Education And/or Experience

 Bachelor's degree in Computer Science, AI, Machine Learning, or a related field

Language Skills: N/A

Mathematical Skills

 Exceptional math skills

Reasoning Ability

 Abstract reasoning ability

Physical Demands: N/A

Work Environment: Office environment