About ChapsVision
ChapsVision is a global leader in Agentic AI and data solutions. The company is at the forefront of the shift to an agentic world, where AI agents not only assist but autonomously execute tasks, fundamentally transforming businesses, governments, and economies. ChapsVision's mission is to support both public and private organizations in their journey to agentic AI by enabling intelligent agents that augment human capabilities, simplify application development, and automate complex workflows.
Trusted by over 2,000 customers across 40 countries, ChapsVision delivers industry-specific solutions through its flagship platforms: Argonos, Sinequa, and Chaps Agents. The company is recognized for its innovation, ethical AI commitment, and rapid growth, backed by leading European investors and a unique M&A-driven operating model.
Role Overview
We are looking for a Presales Engineering Intern to join our growing North American Presales team. This is a hands-on internship designed for someone who loves building, experimenting with AI, and solving real-world technical challenges.
Rather than working on theoretical projects, you'll help create realistic customer demonstration environments for manufacturing and life sciences organizations, develop production-quality synthetic datasets, and build AI-powered internal tools that improve how our Solutions Engineering team works.
You'll work closely with an experienced Presales Engineer and have the opportunity to own meaningful technical projects from day one. This role is ideal for someone who thrives on ambiguity, enjoys rapid experimentation, and uses AI as a core part of how they build and learn.
Key Responsibilities
Demo Environment & Synthetic Data
Build and maintain demo environments for manufacturing and life sciences scenarios that showcase ChapsVision's AI platform
Generate production-quality synthetic datasets that reflect real business processes while preserving data privacy
Design realistic demo workflows and continuously improve them based on feedback, customer use cases, and new product capabilities.
AI Workflow Automation
Build internal tools, scripts, and lightweight apps using Claude Code and modern AI tech to automate repetitive Presales Engineering tasks
Turn loosely defined ideas into practical solutions with minimal oversight
Key Skills and Qualifications
Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, Information Systems, Engineering, or a related technical field.
Programming experience in Python, C#, JavaScript, TypeScript, or similar languages.
Experience building personal, academic, or open-source projects using AI, LLMs, or autonomous agents.
Comfortable using AI development tools such as Claude Code.
Strong problem-solving skills with the ability to independently research and implement solutions.
Excellent written and verbal communication skills.
Curious, self-motivated, and excited to work in a fast-paced startup environment.
Who You Are
We're less interested in what classes you've taken and more interested in what you've built.
The ideal candidate is:
AI-native: You naturally use AI to accelerate your work and have independently experimented with LLMs, AI agents, or automation tools.
Autonomous: You can take an ambiguous problem, break it down, and deliver a working solution with minimal guidance.
Curious: You enjoy learning new technologies and continuously experimenting.
Why Join Us?
Work directly with experienced Presales Engineers on real customer-facing projects.
Gain hands-on experience building enterprise AI demonstrations used by global customers.
Contribute to meaningful technical projects with real business impact
Collaborative and fast-growing environment with mentorship