Intern Agentic AI Software Engineering

About the Role

The Agentic AI Intern will work with the Software Engineering team to develop and prototype next-generation AI solutions and intelligent agents. The intern will gain hands-on experience with Generative AI, Large Language Models (LLMs), agentic workflows, Retrieval-Augmented Generation (RAG), and AI-enabled software development.

Key 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 technologies such as 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 good 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.

Program Details

• Planned Start Date: May 2027
• Program Length: 12 weeks
• Location: Andover, MA

Requirements & Tech Stack

• Education: 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.
• Education: Must be in excellent academic standing, with a 3.0 minimum GPA preferred.
• Experience: Previous applicable intern, co-op, part-time, apprenticeship, academic, or personal project experience is preferred.
• Experience: Experience programming in Python is preferred.
• Experience: Academic or hands-on project experience with Generative AI, LLMs, AI agents, or machine learning is preferred.
• Experience: Exposure to technologies such as LangChain, LangGraph, Strands, Amazon Bedrock, RAG, vector databases, or similar AI technologies is a plus.
• Experience: Experience developing APIs, cloud applications, or software integrations is a plus.
• Competencies: Strong interest in AI, Generative AI, and autonomous/agentic software systems.
• Competencies: High learning agility with the ability to quickly experiment with and evaluate emerging AI technologies.
• Competencies: Strong analytical and problem-solving skills.
• Competencies: Ability to design, implement, test, and document software solutions.
• Competencies: Strong communication skills including technical writing, listening, and speaking.
• Competencies: Must be able to communicate effectively with cross-functional teams and drive project completion.
• Competencies: Independent thinking and the ability to work within a team is required.
• Competencies: Ability to manage multiple tasks and adapt to rapidly evolving technologies.

Training & Compensation

• Training: Hands-On, Team-Customized, Mentorship
• Anticipated base compensation range: $27 - $32 USD hourly