AI Engineer Intern

7-Eleven • Irving, TX

2d

About The Position

7-Eleven is seeking an AI Engineer Intern to join a multidisciplinary team of senior engineers, API engineers, and AI engineers. The team is building customer-facing AI products, including conversational shopping and customer support agents, as well as the AI platform that supports them. This platform includes an AI gateway with model routing, an agent builder framework, MCP services, and observability and evaluation tooling. This is a hands-on internship where the intern will own a scoped project from prototype to a demo-ready deliverable, working with real code, real pipelines, and real engineering standards, under the guidance of a dedicated mentor and with regular code reviews. Interns are expected to spend approximately 70% of their time building and 30% learning, pairing, and presenting.

Requirements

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, Machine Learning, Mathematics, or a related field, with an expected graduation date at least one semester and no more than one year after the internship.
• Proficiency in Python; working knowledge of at least one other language such as JavaScript/TypeScript (Node.js) or Java.
• Understanding of software fundamentals: data structures, algorithms, REST APIs, and Git workflows.
• Familiarity with LLM concepts such as prompting, embeddings, RAG, and tool calling, gained through coursework, personal projects, or hackathons.
• Strong problem-solving skills, curiosity, and a willingness to learn quickly in a fast-moving field.
• Clear written and verbal communication; comfortable asking questions and giving and receiving feedback.

Nice To Haves

• Hands-on experience with LLM frameworks such as LangChain/LangGraph, or with model APIs from OpenAI, Google (Gemini/Vertex AI), Anthropic, or Amazon Bedrock.
• Experience with vector databases or search (for example, pgvector, OpenSearch, MongoDB Atlas), and basic SQL or NoSQL databases.
• Exposure to cloud platforms (AWS or GCP), containers (Docker), and CI/CD.
• Familiarity with LLM observability and evaluation tools (for example, Langfuse, LangSmith, OpenTelemetry).
• Interest in AI safety, guardrails, and responsible-AI practices.
• Personal projects, open-source contributions, research, or prior internships involving AI/ML or agentic systems (link your GitHub or portfolio).

Responsibilities

• Build and test LLM-powered features such as tool and function calling, retrieval-augmented generation (RAG), and multi-step agent workflows in Python and/or Node.js.
• Develop evaluation harnesses for LLM applications, including golden datasets, regression tests, automated scoring, and trace review.
• Help instrument AI services for observability: tracing, prompt and version tracking, tool-call monitoring, latency, token usage, and cost.
• Experiment with prompts, context design, and retrieval quality; compare models on accuracy, latency, and cost, and document the trade-offs.
• Contribute to the AI platform by building small services, API integrations, SDK samples, or developer tooling that helps other teams adopt the AI gateway and agent framework.
• Write clean, tested, documented code, and participate in code reviews, sprint ceremonies, and design discussions.
• Apply responsible-AI practices, including guardrails, PII handling, and safety testing, in every project.
• Present your project results and recommendations to the team and leadership at the end of the internship.

Benefits

• Paid internship
• Build deep experience in a specific functional area
• Contribute to a meaningful business project
• Build your professional network
• Learn directly from senior leaders
• Gain a behind-the-scenes view of how the business works
• Guidance from a dedicated coach
• Opportunities to connect across the organization
• Build valuable relationships
• Broaden your business perspective
• Showcase your work to functional leaders
• Develop in-demand skills
• Help shape the future of merchandising
• General description of all benefits 7-Eleven is offering in the US for the position, please visit this link.
• General description of all benefits 7-Eleven is offering in Canada for the position, please visit this link.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern