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AI Engineer

GameStop Texas LTD

Grapevine, TX 76051 • 10/24/2026

Job Description

Job Description

We're looking for an exceptional AI Engineer who loves building things from scratch, moving quickly, and solving difficult problems with AI.

We're looking for a builder. Someone who thrives in ambiguity, takes ownership, and enjoys turning ideas into production-ready systems. You'll work on cutting-edge AI applications, autonomous agents, workflow automation, and intelligent systems that have a direct impact on the business.

What You'll Do

  • Design, build, and deploy production-grade AI agents and autonomous workflows
  • Develop agent architectures using modern LLM frameworks and orchestration tools
  • Build integrations with APIs, databases, internal tools, and external systems
  • Rapidly prototype new AI-driven products and iterate based on real-world feedback
  • Create scalable solutions leveraging large language models, retrieval systems, and automation frameworks
  • Optimize performance, reliability, and cost across AI applications
  • Own projects from concept to deployment with minimal oversight
  • Solve complex technical challenges in fast-moving, high-impact environments

What We're Looking For

Must-Haves

  • Proven experience personally building and deploying AI agents in production environments
  • Strong software engineering fundamentals and coding proficiency
  • Deep understanding of LLM applications, prompt engineering, agent architectures, and AI workflows
  • Experience integrating AI systems with APIs, databases, and external services
  • Demonstrated ability to independently deliver projects from idea to execution
  • Strong problem-solving skills and a bias toward action

Preferred Experience

Experience with tools and technologies such as:

  • LangChain
  • LangGraph
  • CrewAI
  • LlamaIndex
  • OpenAI APIs
  • Anthropic Claude
  • Vector databases (Pinecone, Weaviate, Chroma, Qdrant)
  • RAG architectures
  • Multi-agent systems
  • Python
  • TypeScript
  • FastAPI
  • Docker
  • Cloud platforms (AWS, Azure, or GCP)