IP & Licensing - Intern

Mistral AI is hiring an IP & Licensing - Intern in Paris, France. Level rates it ; you can apply on Level.

AI in this role

Support strategic IP and data licensing partnerships by combining legal acumen with hands-on evaluation of LLM tools and AI agents.

llm-toolsai-agents

ai-agentsecosystem-researchdata-sourcinglegal-acumencross-functional-alignment

About Mistral

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.

We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.

About the Role

Join Mistral AI’s Strategic Licensing Partnerships team and help shape the future of sovereign frontier AI. Working at the intersection of corporate law, venture finance, and frontier research, you will support strategic initiatives that transform high-value real-world financial, corporate, and specialized data assets into frontier AI capabilities.

In the Strategic Licensing Partnerships Intern role, you will drive data sourcing initiatives and engage key stakeholders across financial services, venture capital, private equity, and institutional networks. You will merge strategic deal execution with practical technical work—leveraging state-of-the-art LLM tools and AI agents to demonstrate how specialized financial data drives next-generation AI solutions.

You will collaborate closely with cross-functional teams across IP & Licensing, Applied AI, Engineering, and Research to align content sourcing with Mistral AI’s strategic roadmap. This role is ideal for a high-potential, hybrid legal/business profile who combines strong financial and legal acumen with deep AI curiosity, hands-on tech fluency, and an adaptable mindset to thrive in a fast-paced frontier research environment.

What You Will Do

FSI/ PE / VC ecosystem research & outreach: conduct deep-dive research across private equity/venture capital and financial services industry providers to identify data partnership opportunities.
Coordinate with Applied AI and Research teams to test current LLM tools, help configure custom AI agents, and adapt interactive product demos for financial partners (no software engineering degree required)
Privacy & data partner operations: oversee specialized external privacy vendors, managing deliverables, compliance quality, and data quality standards.
Program tracking & cross-functional alignment: establish tracking metrics, monitor pipeline velocity, and communicate progress and risk mitigation plans across Engineering, Research, Product, Legal, and Leadership.

What We’re Looking For:

Background: final-year Master 2 / Grande École student in Corporate Law, Business/Finance, Private Equity, or Tech Governance (hybrid legal/business profile strongly preferred).
Tech fluency: strong AI curiosity and hands-on tech fluency (comfortable configuring AI agents, building prompt workflows, adapting demos). Software engineering degree not required.
Interests: passion for VC, PE, financial services innovation, and corporate restructuring.
Fluent French (required) and professional English
Location & work authorization: this internship is available only in France. Please apply only if you have the required work authorization to complete the internship for its full duration.

What We Offer

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page.

Privacy Policy

Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.

How we rate this

IP & Licensing - Intern at Mistral AI rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

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

Key facts

IP & Licensing - Intern is an open job at Mistral AI.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Paris.
The job was posted on October 15, 2026.
Seniority: intern.
Applications are handled by Mistral AI. Apply on Mistral AI

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsEcosystem ResearchData SourcingLegal AcumenCross Functional AlignmentLLM Tools

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a project where ecosystem research was part of your work. What did you do?
Tell me about a project where data sourcing was part of your work. What did you do?
Tell me about a project where legal acumen was part of your work. What did you do?
Tell me about a project where cross functional alignment was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI agents, Ecosystem Research, Data Sourcing, Legal Acumen, and Cross Functional Alignment. 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.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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