[Remote] AI Engineering, Business Systems Intern- Summer 2027

Note: The job is a remote job and is open to candidates in USA. ABB is hiring an AI Engineering, Business Systems Intern to support its operations by building AI agents, connectors, and multi-step workflows that use business systems data. The intern will develop and evaluate retrieval approaches, deliver and demo weekly project work, and document solutions.

Responsibilities

• As an intern, you will have the opportunity to gain practical experience through various projects. Each day, you will acquire knowledge by performing tasks as directed. You will also showcase your skills by supporting ABB’s operations and enhancing personal education/employment opportunities
• The agents and connectors: building the AI layer's agents, tools and data connectors in Python, reading from our business systems through APIs and SQL
• Multi-step workflows: designing agent flows in LangGraph or a comparable framework, with human approval built in. You'll work with read-only access and sandbox environments; nothing writes to a live system without human approval
• The right retrieval for each question: a database query, an API call or a document search, and knowing which one fits
• Evaluation: building evaluation sets, measuring whether answers are right, and improving them
• Weekly delivery: shipping small pieces every week and demoing them to the team and to business users
• AI assistants, owned: using AI coding assistants openly, and being able to explain every line you commit
• Documentation: writing up what you build and learn so the next person can pick it up

Skills

• Currently enrolled in a master's program, or in the third or fourth year of a bachelor's program, in computer science, mathematics, data science or industrial engineering in the United States
• Must be legally authorized to work in the United States without company sponsorship now and in the future
• Python you've shipped: a project someone else can run, with git and tests
• Hands-on experience building with LLMs: model APIs, tool calling, structured outputs
• SQL, including joins across multiple tables
• A working understanding of REST APIs and JSON
• Master's students preferred
• Valued, not required: LangGraph or another agent framework; embeddings, vector search and RAG; MCP; knowledge graphs (for example Neo4j); a cloud platform; any exposure to supply chain, manufacturing or ERP concepts

Benefits

• The work model for the role is onsite/hybrid in Cary, NC.
• Tools and freedom to grow your skills, shape your path, and take on challenges that matter.

Company Overview