AI Engineering Intern

Toshiba Global Commerce Solutions - External • Frisco, TX

4d • Onsite

About The Position

Toshiba Global Commerce Solutions is seeking an AI Engineering Intern to help design, build, test, and improve AI-powered solutions for partner enablement, enterprise knowledge access, and workflow automation. The intern will contribute to a Retrieval-Augmented Generation (RAG) community platform, agentic AI solutions, intelligent knowledge search, and AI-assisted workflows. This role provides hands-on experience applying generative AI to real enterprise retail and partner-support use cases.

Requirements

• Currently pursuing a degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Technology, or a related field.
• Programming experience in Python, JavaScript, Java, or a similar language.
• Understanding of APIs, databases, data structures, and software development fundamentals.
• Strong analytical, problem-solving, and troubleshooting skills.
• Interest in generative AI, large language models, RAG, and agentic systems.
• Ability to communicate technical concepts clearly and collaborate across teams.
• Must have the ability to work without a need for current or future visa sponsorship.

Nice To Haves

• Experience using AI-assisted development tools such as Claude, ChatGPT, GitHub Copilot, Cursor, Windsurf, or similar platforms.
• Familiarity with enterprise AI platforms, including Anthropic Claude, OpenAI, Azure OpenAI, or comparable services.
• Exposure to Model Context Protocol (MCP), tool calling, agent frameworks, and AI orchestration platforms.
• Familiarity with RAG, vector databases, embeddings, semantic search, prompt engineering, and agentic workflows.
• Familiarity with Slack-based AI workflows, enterprise knowledge management, and collaborative partner or developer communities.
• Experience with Git, REST APIs, cloud platforms, Docker, or CI/CD pipelines.
• Exposure to document processing, knowledge management, or enterprise search.
• Understanding of AI evaluation, observability, security, privacy, and responsible AI practices.
• Interest in retail technology, partner ecosystems, enterprise software, or technical enablement.

Responsibilities

• Design and develop RAG-based solutions that provide accurate, context-aware answers from technical documentation and community knowledge.
• Build and test AI agents that can answer questions, guide integrations, support troubleshooting, and automate multi-step workflows.
• Help create an AI-powered partner community that promotes shared knowledge, reusable solutions, and reduced dependency on subject-matter experts.
• Prepare and organize documents, technical content, and knowledge sources for AI retrieval.
• Develop document ingestion, chunking, metadata, embedding, indexing, and retrieval processes.
• Integrate large language models with enterprise systems, APIs, tools, and data sources.
• Develop reusable prompts, agent instructions, tools, and workflow components.
• Support Slack-based AI workflows and collaborative knowledge-sharing experiences.
• Create evaluation methods to measure answer accuracy, relevance, completeness, groundedness, and response quality.
• Identify hallucinations, false positives, retrieval gaps, and other AI quality issues.
• Implement guardrails, human-review controls, access permissions, and responsible AI practices.
• Monitor agent performance, latency, reliability, token usage, and cost.
• Support testing, troubleshooting, documentation, deployment, and ongoing maintenance.
• Collaborate with engineering, professional services, subject-matter experts, and partner teams to identify and implement high-value AI use cases.

Benefits

• Hands-on experience building production-oriented generative AI and agentic solutions.
• Practical exposure to RAG architecture, enterprise knowledge systems, AI evaluation, and responsible AI.
• Experience solving real business and technical enablement challenges.
• Mentorship from AI, engineering, retail technology, and professional services leaders.
• Opportunities to build portfolio-ready solutions with measurable business impact.

What This Job Offers

• Job Type: Part-time
• Career Level: Intern
• Education Level: No Education Listed