Agentic AI analyst - Academic internship - Research & Learning (US)

Our job everyday is to protect the data and critical assets of businesses world-wide by discovering hidden vulnerabilities… before the bad guys do!

At CybelAngel, we see beyond perimeters to protect businesses from the most critical cybersecurity threats. Fortune 500 Global to mid-size companies world-wide, trust CybelAngel’s global team of approximately 130 team members to protect their businesses from digital threats. With a combination of advanced machine learning, cyber analysis expertise, and a powerful suite of software solutions, CybelAngel detects and resolves our clients potential threats, long before they can fall into the hands of cyber criminals.

Our capabilities expand every day to uncover new risks, detect more threats, protect more clients, and create new possibilities for our employees.

With employees based in France and in the US, CybelAngel’s global footprint allows for a thriving hybrid, office and remote-work environment. We are looking for exceptional ‘go-getters’ who share our ambitious vision, innovative culture especially considering our GenAI DNA, high commitment to ethics, and enthusiasm for being the best possible place to work!

Our values

• Be Bold

Reports to : Erwan Keraudy - CEO

Duration : 3-6 months; Schedule designed to accommodate academic commitments

Location : US - New York State - full-remote position

Additional information : Unpaid internship - This internship is intended as a temporary, education experience aligned with the intern’s academic development and does not create an expectation of employment at its conclusion.

Program Overview

We are offering a structured learning experience for a curious and autonomous student (Data Science / AI / Engineering) eager to explore the frontier of Agentic AI. This internship is designed as an educational laboratory where you will develop hands-on skills in AI prototyping under the direct mentorship of our CEO and the support of our CTPO / Cybersecurity analyst and product team, complementing your academic program through supervised learning and guided experimentation. The role is designed as a mentored learning experience in which the intern supports research and experimentation efforts while gaining exposure to how concepts are evaluated prior to operational use.

You are curious, autonomous, and excited about AI. You enjoy turning ideas into quick prototypes and navigating ambiguity. An interest in cybersecurity is a strong plus.

Learning & Mentorship Objectives

• Exposure to CyberOps Analysis: Learn to analyze complex workflows and explore theoretical automation concepts in a supervised research context.

• Supervised Prototyping: Gain hands-on experience building exploratory "Proof of Concepts" (PoCs) using AI-driven tools through guided experimentation.

• AI Agent Research: Explore the architecture of AI agents and orchestration tools (MCP, APIs) in a research-oriented environment.

• Vibe Coding & AI-Assisted Development: Master cutting-edge tools (e.g., Claude Code) through guided experimentation and iterative feedback sessions.

• Workflow Design Education: Understand the logic behind LLM orchestration and data flows through structured exercises.

• Feedback & Evaluation: Participate in regular mentorship sessions to review findings, improve technical logic, and discuss industry trends.

Hard Skills

• Currently enrolled in a University program (Credit or non-credit affiliation required)

• Strong interest in learning AI-assisted coding tools (e.g. Claude Code)

• Enthusiasm for rapid prototyping and iterative learning

• Basic to intermediate programming foundations (Python preferred)

• Good understanding of APIs, JSON, and LLM prompting

• Analytical mindset with a Data Science or Engineering background

• Understanding or strong interest in cybersecurity is a plus

Soft Skills

• Proactive learner

• Problem solver mindset

• Resourceful and comfortable with ambiguity

• Clear communicator (for structured feedback sessions)

• Motivation to actively engage in hand-on experimentation in a learning/sandbox environment

Interview Process

• HR interview (30 minutes) with our Talent Acquisition Manager Pierre - focus on academic goals

• Manager interview with our CEO Erwan Keraudy - who will mentor the student

• Skills-based exercise to present to our CEO Erwan Keraudy & Thibaut Eychene, CyberOps Lead