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Graco · 2 days ago

AI Engineer Intern

Minneapolis, MN

Internship

Onsite

Intern

$21/hr - $28/hr

Graco manufactures and markets premium equipment for fluid and powder materials. The AI Engineer Intern will assist in the development, testing, and deployment of Generative AI solutions, working closely with product managers and software engineers to solve real-world business problems through innovative applications.

ConstructionMachinery ManufacturingManufacturing

Comp. & Benefits

No H1B

U.S. Citizen Only

Responsibilities

Participate in the full GenAI development lifecycle including prompt engineering, model fine-tuning, testing, and deployment

Assist in developing and maintaining scalable LLM-based applications and generative AI solutions

Implement and optimize prompts for various business use cases including content generation, document processing, and intelligent automation

Support integration of foundation models (GPT, Claude, LLaMA) and custom LLMs into cloud-based production systems

Deploy and manage AI models on cloud platforms (AWS Bedrock, OCI AI Services) to deliver business solutions

Document prompt strategies, model configurations, and deployment workflows to ensure reproducibility and adhere to quality standards

Work with business stakeholders to understand requirements and design LLM-powered solutions for specific use cases

Collaborate closely with cloud engineers, architects, and cross-functional teams to implement GenAI applications

Research and experiment with the latest generative AI models, frameworks, and cloud AI services to improve business solutions

Stay up to date with emerging LLM technologies, prompt engineering techniques, and cloud AI platform capabilities

Qualification

Large Language ModelsGenerative AIPythonCloud platformsPrompt engineeringModel fine-tuningAPI integrationVersion control (Git)Agile environmentProblem-solvingTeam collaboration

Required

Currently pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or related field

Understanding of Large Language Models (LLMs), generative AI concepts, and foundation model architectures

Proficiency in Python and familiarity with GenAI frameworks (LangChain, LlamaIndex, Transformers)

Experience with cloud platforms (AWS, OCI) and AI services (AWS Bedrock, OCI AI Services, Azure OpenAI)

Knowledge of prompt engineering techniques, model fine-tuning, and LLM optimization strategies

Understanding of API integration, microservices architecture, and cloud-native development

Strong problem-solving skills with focus on business use case implementation

Ability to work independently and collaboratively in a team environment

Familiarity with version control systems (Git) and cloud development practices

Applicants must be legally authorized to work in the United States. This role is not eligible for immigration sponsorship now or in the future (e.g., H-1B, TN, F-1 OPT)