Intern Agentic AI Software Engineering

**This position does not offer visa transfer or sponsorship now or in the future**

Thank you for considering employment with Smith and Nephew. This job opportunity is not currently available for hiring; however, this requisition was established for candidates to express interest in the above position, with a view to progress formally once we are in a position to do so 

Life Unlimited. At Smith+Nephew we design and manufacture technology that takes the limits off living.

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. Duties 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.

What will you be doing?

• 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.

Planned Start Date: May 2027

Program Length: 12 weeks

Location: Andover, MA

What will you need to be successful

Education:

• Must be currently matriculated or within a year of matriculation in an accredited university as an undergraduate majoring in Computer Science or Computer Engineering, Software Engineering, or a related technical field.
• 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 programming in Python is preferred.
• Academic or hands-on project experience with Generative AI, LLMs, AI agents, or machine learning is preferred.
• Exposure to technologies such as LangChain, LangGraph, Strands, Amazon Bedrock, RAG, vector databases, or similar AI technologies is a plus.
• Experience developing APIs, cloud applications, or software integrations is a plus.

Competencies:

• Strong interest in AI, Generative AI, and autonomous/agentic software systems.
• High learning agility with the ability to quickly experiment with and evaluate emerging AI technologies.
• Strong analytical and problem-solving skills.
• Ability to design, implement, test, and document software solutions.
• Strong communication skills including technical writing, listening, and speaking.
• Must be able to communicate effectively with cross-functional teams and drive project completion.
• Independent thinking and the ability to work within a team is required.
• Ability to manage multiple tasks and adapt to rapidly evolving technologies.

You. Unlimited

We believe in creating the greatest good for society. Our strongest investments are in our people and the patients we serve.

Inclusion and Belonging- Committed to Welcoming, Celebrating, and Thriving. Learn more about Employee Inclusion Groups on our website

Other reasons why you will love it here!

Training:

• Hands-On, Team-Customized, Mentorship

The anticipated base compensation range for this position is $27- $32 USD hourly

The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. It is not typical for an individual to be hired at the high end of the range for their role at Smith + Nephew. Compensation decisions are dependent upon the facts and circumstances of each position and candidate.

#LI-ONSITE

Smith+Nephew provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.

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