AI & Automation Intern - IP Operations

Novocure Inc. • Chesterbrook, PA • 4h ago

Description:

Hybrid (Remote Considered) | Full-Time Internship | Wayne, PA

At Novocure, we're working to extend the lives of patients battling some of the most aggressive forms of cancer. As part of our Intellectual Property Operations team, you'll have the opportunity to apply emerging AI technologies to real business challenges - building intelligent solutions that connect data, systems, and workflows.

This is a technical internship focused on applied AI, AI agents, automation, and systems integration. While the position sits within our Intellectual Property organization, no prior legal or intellectual property experience is required.

ABOUT THE ROLE

We are seeking a hands-on IP Operations AI Intern to help us design, build, integrate, test, and improve AI-powered solutions supporting our internal operations.

You'll work directly with the Head of IP Operations on AI agents and automation initiatives that interact with business systems, internal data, documents, and workflows. Some solutions are already underway - your job won't simply be to build something from scratch. You'll also help us understand why an AI system isn't working as expected and determine how to make it better.

This is an ideal opportunity for someone who enjoys turning ideas into working systems, experimenting with emerging AI technologies, and independently solving technical problems.

WHAT YOU'LL DO

Design, build, and improve AI agents and agentic workflows that support real-world business processes

Develop and refine Retrieval-Augmented Generation (RAG) solutions using internal documents, data, and knowledge sources

Connect AI solutions with existing business applications through APIs, webhooks, databases, and workflow automation tools

Help develop integrations between AI solutions and platforms used within IP Operations

Test and troubleshoot AI-agent behavior, including hallucinations, @context retention, response consistency, retrieval accuracy, and tool/API calling

Refine prompts, system instructions, agent logic, and workflows to improve performance and reliability

Develop evaluation methods to measure the quality and consistency of AI-generated outputs

Implement appropriate safeguards, validation processes, and data privacy considerations

Identify technical bottlenecks and creatively troubleshoot issues across AI and data workflows

Explore automation opportunities using platforms such as Airtable, Power Automate, n8n, Zapier, Make, or similar technologies

Document solutions, technical decisions, and recommendations to support future development

Bring new ideas and perspectives to how AI and automation can improve the way we work

ABOUT YOU

You're a builder and problem-solver who enjoys figuring out how systems work - and why they sometimes don't.

You're comfortable being given a problem rather than a step-by-step set of technical instructions. You enjoy experimenting, troubleshooting, researching solutions, and turning ideas into working applications.

You don't need to be an AI expert or graduate-level researcher. We're looking for someone with a strong technical foundation who has already started applying AI technologies through internships, coursework, research, hackathons, or personal projects and is eager to take those skills into a real-world business environment.

Minimum Qualifications

Currently pursuing a Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Engineering, or another related technical field

Hands-on programming experience with Python

Experience building or contributing to an application involving LLMs, AI agents, RAG, automation, or API integrations

Understanding of APIs and how applications exchange and use data

Strong analytical and technical problem-solving skills

Ability to work independently, learn new technologies quickly, and communicate technical ideas effectively

Preferred Qualifications:

Experience with one or more of the following is a plus:

Retrieval-Augmented Generation (RAG)

LLM APIs such as OpenAI, Anthropic Claude, Google Gemini, or similar

Agentic frameworks such as LangChain, LangGraph, LlamaIndex, AutoGen, or similar

REST APIs, webhooks, and third-party system integrations

Vector databases, embeddings, or semantic search

Prompt engineering and agent orchestration

AI testing, evaluation, hallucination detection, or guardrails

Workflow automation tools such as Airtable, n8n, Power Automate, Zapier, Make, or similar

Software development and data-processing workflows

Experience working with technical documents or enterprise data

Experience with Airtable is especially helpful but not required.

No prior legal or intellectual property experience is required for this role.

WHAT SUCCESS LOOKS LIKE

y the end of the internship, you will have:

Built or meaningfully improved working AI agents and automated workflows

Helped connect AI solutions with real business systems and data

Improved the accuracy, reliability, and usefulness of existing AI solutions

Identified and resolved technical issues affecting agent or workflow performance

Helped establish more scalable approaches to AI automation within IP Operations

Demonstrated the ability to independently investigate problems, propose solutions, and turn ideas into working technology

HOW YOU'LL WORK

Paid internship

Full-time internship with ability to work part time during school semester

Remote work flexibility

Direct collaboration and mentorship from the Head of IP Operations

Opportunity to work on AI initiatives that may have applications beyond the IP Operations organization

WHAT YOU'LL GAIN

Paid Internship of $25/hr.

Hands-on experience building real-world enterprise AI solutions

Practical experience with AI agents, RAG, APIs, automation, and systems integration

Exposure to the challenges of deploying reliable AI within a regulated healthcare environment

Experience working with real business data, documents, applications, and workflows

Opportunity to experiment with emerging AI technologies while solving meaningful operati

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