Applied AI Intern at DwyerOmega

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, Software Engineering or a related technical field
• Proficiency in Javascript/Typescript and/or python; experience with web development frameworks (React, NodeJS) is a plus
• Hands-on experience with AI/LLM platforms and APIs (OpenAI, Google Gemini, Claude, Hugging Face or similar)
• Familiarity with prompt engineering techniques and/or building applications that integrate large language models.
• Strong problem-solving skills

Work Environment

This position operates in a remote work environment. The employee must be able to conduct company tasks in a private manner and in a space conducive to work. No travel is required.

Physical Requirements

To successfully perform the essential functions of this position, the employee must be able to:

• Remain in a stationary position and work at a computer for extended periods of time.
• Use hands and fingers to operate computers.
• Communicate effectively with team members, supervisors, and other stakeholders.

Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions of the position.

Internship Perks

• Work on meaningful, real-world projects.
• Learn from experienced mentors and industry experts.
• Develop teamwork and cross-functional collaboration skills.
• Gain insight into business operations and how your department supports broader company goals.
• Participate in intern-focused programming designed to support career development and networking.
• Build your resume with a respected name in measurement.

Please Note

We are an Equal Opportunity Employer, including Veterans and Individuals with Disabilities, an E-Verify employer, and a drug-free company.

This position is not eligible for VISA sponsorship.

As part of the recruitment process, you may be contacted by AI-enabled technology to conduct an initial screening call. The technology will ask role-related questions and record or transcribe your responses for review by our recruitment team.

Pay Transparency

We believe in transparent and equitable pay. All U.S. job postings include a good-faith salary range based on role, location, experience, and internal equity. We’re happy to discuss compensation openly throughout the hiring process.