Paid Internship / Working Student : Frontier AI Systems

📍 Cologne / Bonn / Aachen/

 📅 June 20th start 

🚀 Potential long-term path

How do you build reliable autonomous AI systems?

Not chatbot demos. Not wrappers. Not toy prompt engineering. Not drag-and-drop automations.

We are building systems that can reason, integrate, operate, and remain reliable inside complex operational environments, where failure has real consequences.

This means working at the intersection of:

• AI systems engineering
• Autonomous / Agentic systems
• Neuro-symbolic systems
• Open Agentic ecosystems

Exord is building infrastructure for reliable autonomous operations in regulated industries.

We believe the next wave of computing will be operational AI systems capable of performing meaningful work safely and reliably.

Our founders have built and deployed large-scale AI and distributed systems in real enterprise environments and contributed to major open technology initiatives in Europe.

Exord is part of NVIDIA Inception and is building across the US, Germany, and India.

Our Reference ecosystem work, open source initiatives, and technical contributions across the US, Europe, and India:

**https://www.notion.so/EXORD-SYSTEMS-INC-2c8ca995414880f48d17c4c80b561dbd**

You’ll work directly with founders on a small team, building autonomous systems that solve real-world problems.

A typical week might involve:

• working on live autonomous AI systems deployed in a regulated US healthcare environment
• turning expert human workflows into autonomous systems that can operate reliably
• debugging production failures across AI workflows, integrations, and backend systems
• experimenting with new capabilities and shipping them into real-world use
• pushing systems toward higher autonomy through rapid iteration and real-world feedback
• contributing to open ecosystem, technical community, or open source initiatives

We care more about ownership, curiosity, execution, and seriousness than polished credentials.

You may be a strong fit if:

• you enjoy making difficult systems actually work
• you like moving things from idea → implementation → deployment → production
• you’re comfortable talking to engineers and customers
• you enjoy both systems and relationships
• you’re structured, disciplined, and comfortable with ambiguity
• production complexity excites you rather than scares you

You want to understand:

• why systems fail
• why integrations break
• what customers actually need
• how reliability gets engineered

You do not need to be a world-class engineer (yet), but you should be technically comfortable and able to reason with engineering teams.

Strong backgrounds may include:

• Computer/Software Engineering
• Industrial Engineering
• Systems Engineering
• Applied AI / related technical disciplines

Hands-on experience equally in JVM/Python is preferred. If either of one is lacking then expected to learn in shortest possible time.

Ideal if you’ve already built with LLMs, agent frameworks, model APIs, or real AI workflows—not just experimented in notebooks.

If you’ve already seen:

• prompts fail
• agents loop
• latency explode
• token costs get out of hand
• reliability become the actual problem

you’ll probably resonate with this role.

We’d especially love to see people who have:

• built side projects
• shipped software
• worked with real users
• handled production systems
• supported integrations
• contributed to open source
• led technical student initiatives

• you want passive observation
• you need heavy handholding
• you only want isolated coding work
• production issues sound painful rather than interesting
• you’re mainly optimizing for a logo on your CV

• a chance to help shape frontier technology that is not mainstream yet , in product, ecosystem, or technical evangelism
• Steep learning velocity on frontier AI Systems
• direct builder/founders exposure & learning
• real ownership
• exposure to production AI systems
• access to open source ecosystems and frontier technical communities
• potential path to full-time
• Paid Internship

The right person may learn in months specialized knowledge that is not yet mainstream.

Send your application to [email protected]

Subject:Frontier AI Systems - Intern : [Your Name]

Include:

• CV / LinkedIn
• GitHub, open source contributions, or projects you’ve built
• One short write-up on something real you worked on*(what it did, your role, what worked, what broke, what you learned)*
• What made you apply?

If you’ve worked with LLMs / agents / model APIs, tell us what reality looked like.

Examples:

• prompts failing
• agents looping
• latency exploding
• token costs getting out of hand

Keep it concise.

Generic AI-generated applications are easy to spot. We build systems for a living.

Join if you want to work on difficult systems problems before they become mainstream.

If you’re exceptional, this role could evolve into product, operations, ecosystem leadership, or technical evangelism.