mecas. is a private AI lab on a mission to unlock the full potential of European companies.

We work with companies across industries to build and deploy AI solutions that drive real business value.

🎯 Our approach: We bridge cutting-edge academic research with real-world business impact. Through active partnerships with leading universities and research institutions, we tackle hard technical problems that push the boundaries of what's possible in commercial AI applications.

🤝 Our culture: Full ownership, excellence-driven, high trust (no micromanagement). We go the extra mile in everything we do.

⚡ What to expect: Work at the forefront of AI applications in a fast-paced, startup-like environment.

The Role

We're looking for a hands-on AI Engineer who loves building production systems that solve real business problems. You'll work across different industries and client types, from startups to enterprises.

Your main project:

• Design, develop, and deploy AI models and pipelines for data extraction from PDFs, forms, emails, and other unstructured sources.
• Collaborate with client teams to understand workflows and identify automation opportunities.
• Implement data cleaning, validation, and transformation processes to ensure high-quality outputs.
• Evaluate model performance, perform error analysis, and continuously improve accuracy.
• Work closely with clients to integrate solutions into their business processes.

Beyond your core project:

• Opportunity to contribute to LLM-based platform development projects
• Collaborate with senior engineers on cutting-edge AI applications
• Gain exposure to diverse industries and AI use cases across our client portfolio

What We're Looking For

Required:

• Bachelor’s or Master’s in Computer Science, AI, Data Science, or related STEM field
• Strong programming skills in Python and familiarity with AI libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face)
• Knowledge of LLM orchestration tools (LangChain, LlamaIndex, or similar)
• Data science fundamentals (statistics, data analysis, visualization)
• Ability to translate business requirements into technical solutions
• Self-motivated and comfortable taking ownership of projects

Nice to have:

• Experience designing and building agentic AI systems
• Experience with document understanding / NLP / OCR technologies
• Hands-on experience with data cleaning, preprocessing, and ETL pipelines
• Knowledge of structured/unstructured data extraction methods
• Interest in LLM applications and modern AI technologies

Why This Internship is Special

• Real responsibility: You'll own a complete project from data exploration to model deployment, not just assist with someone else's work.
• Production impact: Your models will be deployed in real use for clients, ranging from insurance to logistics, affecting actual business operations.
• Client exposure: Work directly with industry professionals and present your findings to decision-makers.
• Diverse learning: Exposure to both traditional data science and cutting-edge AI technologies like LLMs.
• Flexible arrangement: 50%-100% commitment with primarily remote work.
• Research connection: Opportunity to work at the intersection of academic research and commercial application.

What We Offer

• Competitive internship compensation based on your commitment level (50%-100%)
• Flexible work arrangement - primarily remote
• Real-world experience that makes a difference on your resume and portfolio
• Mentorship from experienced AI engineers and researchers
• Access to cutting-edge tools and technologies
• Potential for future opportunities within our growing team
• Project ownership that you can showcase in future applications

Ideal For

• Master's students looking for a challenging, hands-on internship experience
• Working students who can commit 50%-100% time flexibly
• Recent graduates wanting to bridge academic knowledge with industry application
• Anyone passionate about turning data into actionable business insights

Ready to Make an Impact?

If you're excited about owning a real project that affects actual business operations while learning cutting-edge AI techniques, we'd love to hear from you.

Apply now: Email us at [email protected]

• Include "AI Engineer" in your subject line
• Send a link to your github repos or other projects you are proud of.
• Tell us briefly why you're interested & would be a good fit for Mecas.
• Tell us about your availability and preferred commitment level (50%-100%), plus your intended duration (minimum 4 months, ideally 6+ months)