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Smith+Nephew

Intern Agentic AI Software Engineering

Smith+Nephew is hiring an Intern Agentic AI Software Engineering. It pays $27-$32/hr and Level rates it ; you can apply on Smith+Nephew.

Level's read on this job

  • On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include LangChain, LangGraph and Bedrock.
  • Level classifies it as an internship.
  • Level lists 341 other open roles at Smith+Nephew.
  • The role was posted in the last few days.

AI in this role

langchainlanggraphbedrock
ragai-agents

**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.

Stay connected by joining our Talent Community.

We're more than just a company - we're a community! Follow us on LinkedIn to see how we support and empower our employees and patients every day.

Check us out on Glassdoor for a glimpse behind the scenes and a sneak peek into You. Unlimited., life, culture, and benefits at S+N.

Explore our website and learn more about our mission, our team, and the opportunities we offer.

How we rate this

Intern Agentic AI Software Engineering at Smith+Nephew rates 92 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agentsLangChainLangGraphBedrock

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. What are the limits of LangChain that you've run into, and how did you work around them?
  4. What's a project where you used LangGraph hands-on?
  5. Walk me through how you've used Bedrock in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: RAG, AI agents, LangChain, LangGraph, and Bedrock. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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