Remote Applied AI Intern — Build Real AI Tools

DwyerOmega; United States; Remote; USD 30,000 - 39,000; Full time

Job summary

DwyerOmega is seeking an Applied AI Intern for a Spring 2027 start. This remote internship focuses on building practical AI solutions, automating workflows, and prototyping AI-powered applications that drive business value.

You will work with the AI team to translate business problems into working AI solutions using modern platforms and APIs. This is not a research role but a builder role targeted at real-world impact.

Qualifications

• Pursuing a Bachelor's or Master's in a technical field.
• Hands-on experience with AI/LLM platforms and APIs (OpenAI, Google Gemini, Claude, Hugging Face or similar).
• Familiarity with prompt engineering techniques and building applications that integrate large language models.
• Strong problem-solving skills.

Responsibilities

• Build, Extend and maintain internal AI tools and automations.
• Support data analysis and consolidation efforts across multiple portfolio companies, helping to identify patterns, clean datasets and prepare data for AI-driven insights.
• Prototype AI-powered proof-of-concept applications that address specific operational challenges within DwyerOmega’s business units.
• Design and refine prompts, system instructions and AI agent configurations to improve the quality and reliability of AI-generated outputs.
• Evaluate and recommend emerging AI tools and platforms.
• Document technical approaches, architectural decisions and usage guides to support knowledge transfer and long-term maintainability.

Skills

AI/LLM platforms

Prompt engineering

Problem-solving

Education

Bachelor's or Master's in CS/DS/IS/SE

Job description

DwyerOmega is seeking an Applied AI Intern for a Spring 2027 start. This remote internship focuses on building practical AI solutions, automating workflows, and prototyping AI-powered applications that drive business value.

You will work with the AI team to translate business problems into working AI solutions using modern platforms and APIs. This is not a research role but a builder role targeted at real-world impact.