Intern Agentic AI Software Engineering

Smith+Nephew•Andover, MA
•$27 - $32•Onsite

About The Position

The Agentic AI Intern will work with the Software Engineering team to develop and prototype next-generation AI solutions and intelligent agents. The internship provides hands-on experience with Generative AI, Large Language Models (LLMs), agentic workflows, Retrieval-Augmented Generation (RAG), and AI-enabled software development. Work may include designing and developing AI agents, integrating agents with engineering tools and data sources, developing and evaluating RAG-based solutions, testing agent behavior, and contributing to AI-enabled solutions across the software development lifecycle. The intern will work with managers and mentors on identified internship projects, document technical designs and findings, and present project conclusions to senior leadership. The planned start date is May 2027, the program is 12 weeks long, and the position is located in Andover, Massachusetts. This requisition is not currently available for hiring and is intended to collect interest for possible future formal hiring. Visa transfer or sponsorship is not offered now or in the future.

Requirements

  • Must be currently matriculated or within a year of matriculation in an accredited university as an undergraduate majoring in Computer Science, Computer Engineering, Software Engineering, or a related technical field.
  • Strong interest in AI, Generative AI, and autonomous or agentic software systems.
  • Strong analytical and problem-solving skills.
  • Ability to design, implement, test, and document software solutions.
  • Strong communication skills, including technical writing, listening, and speaking.
  • Ability to communicate effectively with cross-functional teams and drive project completion.
  • Independent thinking and the ability to work within a team.
  • Ability to manage multiple tasks and adapt to rapidly evolving technologies.

Nice To Haves

  • Excellent academic standing; a 3.0 minimum GPA is preferred.
  • Previous applicable intern, co-op, part-time, apprenticeship, academic, or personal project experience.
  • Experience programming in Python.
  • Academic or hands-on project experience with Generative AI, LLMs, AI agents, or machine learning.
  • Exposure to LangChain, LangGraph, Strands, Amazon Bedrock, RAG, vector databases, or similar AI technologies.
  • Experience developing APIs, cloud applications, or software integrations.
  • High learning agility and ability to quickly experiment with and evaluate emerging AI technologies.

Responsibilities

  • Work closely with managers and mentors to complete specifically identified internship projects.
  • Design, develop, and prototype AI agents and agentic workflows for software engineering use cases.
  • Build applications and services using Generative AI and Large Language Models (LLMs).
  • Explore RAG, tool/function calling, agent memory, multi-agent workflows, MCP, and human-in-the-loop interactions.
  • Develop integrations between AI agents and engineering systems, APIs, and knowledge sources.
  • Develop automated methods to evaluate the accuracy, reliability, and quality of AI-agent outputs.
  • Apply software engineering practices including source control, code reviews, automated testing, documentation, and secure development.
  • Document technical designs, experiments, results, and key learnings.
  • Present project conclusions to senior leadership.

Benefits

  • Hands-on, team-customized training and mentorship.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service