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Artificial Intelligence Engineer Intern Jobs in Iowa

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... with artificial intelligence. We collaborate closely with one of the top medical schools in the ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... with artificial intelligence. We collaborate closely with one of the top medical schools in the ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... with artificial intelligence. We collaborate closely with one of the top medical schools in the ...

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Artificial Intelligence Engineer Intern information

What does an artificial intelligence engineer intern do?

An Artificial Intelligence (AI) Engineer Intern assists in designing, developing, and testing AI models and algorithms under the guidance of experienced engineers. Their daily tasks may include data preprocessing, training machine learning models, evaluating model performance, and collaborating with team members on various AI projects. Interns often work with programming languages such as Python, and may utilize frameworks like TensorFlow or PyTorch. This role provides hands-on experience in applying AI techniques to real-world problems and helps interns build skills necessary for a career in artificial intelligence.

What types of projects and collaborations can an artificial intelligence engineer intern expect during their internship?

As an Artificial Intelligence Engineer Intern, you'll likely work on a variety of hands-on projects such as developing machine learning models, assisting with data preprocessing, and supporting the deployment of AI solutions. Interns often collaborate with cross-functional teams including data scientists, software engineers, and product managers to solve real-world business problems. You’ll gain exposure to production environments, code reviews, and may participate in team meetings or brainstorming sessions. This structure provides valuable experience and networking opportunities, while also allowing you to contribute meaningfully to ongoing projects.

What are the key skills and qualifications needed to thrive as an artificial intelligence engineer intern, and why are they important?

To thrive as an Artificial Intelligence Engineer Intern, you need a strong background in computer science fundamentals, programming (especially Python), and foundational knowledge of machine learning concepts, often supported by coursework or relevant projects. Familiarity with AI frameworks such as TensorFlow or PyTorch, experience with data analysis tools, and understanding of version control systems like Git are typically required. Curiosity, critical thinking, and effective communication help interns learn quickly, collaborate with teams, and contribute innovative ideas. These skills and qualities enable interns to contribute meaningfully to AI projects, adapt to new challenges, and build a solid foundation for a future career in AI engineering.

What are the most commonly searched types of Artificial Intelligence Engineer jobs in Iowa?

The most popular types of Artificial Intelligence Engineer jobs in Iowa are:

Artificial Intelligence Engineer Intern jobs near you

Artificial Intelligence Engineer

Scalence L.L.C.

West Des Moines, IA • On-site

$113K - $135K/yr

Full-time

Re-posted 23 days ago

Job description

Job Summary:
Scalence L.L.C. is a company specializing in artificial intelligence solutions, and they are seeking an Artificial Intelligence Engineer to develop and implement AI-driven applications. The role involves working with various AI technologies and collaborating with different teams to deliver innovative solutions for business challenges.
Responsibilities:
• Proficiency in Python, REST APIs, React/Node.js, and cloud-native infrastructure (Docker, CI/CD) with 5 years of minimum experience in software engineering or data science, including 1 year in GenAI/LLM/Agentic AI
• Hands-on experience with AWS AI services (Bedrock, SageMaker, Textract, Translate, etc.)
• Experience with AI agent frameworks such as LangChain, AutoGen, LlamaIndex, or LangGraph
• Experience in designing and scaling RAG pipelines, vector search systems, and LLM evaluation workflows
• Familiarity with enterprise AI tools such as Claude, GPT-4/4o, ChatGPT Enterprise, Copilot, Glean, and Shelf
• Ingest and process unstructured/structured data (parsing, chunking, embeddings, retrieval)
• Develop intuitive user experiences powered by LLMs and AI agents for real-time workflows
• Drive document automation and multilingual NLP (summarization, translation, NER)
• Implement observability, governance, and responsible AI practices in compliance with regulations
• Collaborate with IT, data, compliance, and business leaders to deliver business-facing solutions
Qualifications:
Required:
• Proficiency in Python, REST APIs, React/Node.js, and cloud-native infrastructure (Docker, CI/CD) with 5 years of minimum experience in software engineering or data science, including 1 year in GenAI/LLM/Agentic AI
• Hands-on experience with AWS AI services (Bedrock, SageMaker, Textract, Translate, etc.)
• Experience with AI agent frameworks such as LangChain, AutoGen, LlamaIndex, or LangGraph
• Experience in designing and scaling RAG pipelines, vector search systems, and LLM evaluation workflows
• Familiarity with enterprise AI tools such as Claude, GPT-4/4o, ChatGPT Enterprise, Copilot, Glean, and Shelf
• Ingest and process unstructured/structured data (parsing, chunking, embeddings, retrieval)
• Develop intuitive user experiences powered by LLMs and AI agents for real-time workflows
• Drive document automation and multilingual NLP (summarization, translation, NER)
• Implement observability, governance, and responsible AI practices in compliance with regulations
• Collaborate with IT, data, compliance, and business leaders to deliver business-facing solutions
Company:
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience. Founded in , the company is headquartered in Morristown, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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