AI Engineer Intern
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TRG is looking for the next generation of technologists and builders to join our technology team as an AI engineer intern. This is a Dallas-based paid internship.
Artificial intelligence is rapidly transforming marketing, operations, and creative workflows. TRG is exploring how AI can improve internal systems, accelerate creative work, and unlock new capabilities across the agency. As an AI engineer intern, you will work closely with our chief technology officer and technology team to help prototype tools, test AI workflows, and explore new technologies that bring AI into real agency work.
This internship is highly hands-on. Interns will work on real internal projects, experimenting with new AI models, building integrations, and helping develop tools that may be used across the company.
What You’ll Be Doing
- Prototyping AI-powered tools and internal applications for agency workflows
- Building integrations with LLM APIs and AI services
- Assisting with internal AI infrastructure, automation, and tooling
- Developing scripts or small services in Python, JavaScript, or similar languages
- Evaluating emerging AI models, frameworks, and technologies
- Supporting prompt engineering and workflow automation
- Assisting with experiments involving AI agents, embeddings, and vector databases
- Documenting experiments and helping operationalize successful projects
- Contributing to internal AI tools that may be used across the agency
What You’re Good At
- You have a curiosity about how things work and enjoy experimenting with new technology
- You like building things, testing ideas quickly, and figuring out how emerging tools can be applied to real-world problems
- You’re comfortable learning independently and are excited by the fast pace of AI innovation
What You Have In Your Background
- Experience programming in Python, JavaScript, or similar languages
- Familiarity with APIs and modern development workflows
- Interest in artificial intelligence, machine learning, and emerging technologies
Bonus Experience May Include
- Working with LLM APIs, MCPs, A2A protocols
- Experience with Claude Code, Codex, etc.
- Familiarity with frameworks like LangChain, Langflow, Ollama, etc.
- Experience with open-weights models
- Experience with vector databases
- Personal projects, experiments, or automation tools
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