Full-Stack AI Engineer

This is a full-time Hybrid / Remote-flex position

At Kruso, we build AI for real people and real work. Not endless decks or demos that never leave staging, but AI agents that remove repetitive tasks, create clarity, and give teams time back. From compliance automation and reporting to agent-driven customer communication, we turn operational complexity into something people can actually work with.

If you enjoy shipping real products, experimenting with AI, and working close to users, you will probably feel at home here.

You will spend most of your time designing, building and shipping AI-powered products end to end. That means backend, frontend, infrastructure and everything in between.

Some days you will be working on agent logic and LLM integrations. Other days you might refine a frontend flow, improve observability in production, or make architectural decisions together with the team.

More concretely, you will:

• Build AI-enabled applications using Node.js and or Python on the backend and React or similar on the frontend

• Work with LLMs and agentic frameworks to automate real business processes

• Deploy and run services in cloud-native, containerized environments

• Integrate with external systems, APIs and both structured and unstructured data

• Use AI-assisted development tools like GitHub Copilot or Claude Code as a natural part of your workflow

• Take shared ownership of architecture, data flows, user experience and technical quality

• Contribute to our internal Agentic Platform that powers multiple AI agents across clients

• Work closely with product owners, designers and clients to iterate fast and ship value

• Build software we can run and trust in production, including monitoring, security, testing and documentation

We are not looking for a perfect checklist match. We care more about strong fundamentals, curiosity, and the ability to learn by building.

You likely have:

• Solid backend experience in Node.js and or Python

• Experience with a modern frontend framework such as React, Vue or Angular

• A good understanding of APIs and distributed systems

• Hands-on experience with Docker and containerization

• Some experience running services in Kubernetes-based or cloud-native setups

• Experience integrating AI or LLM APIs into real products

It is a plus if you also have experience with:

• Cloud platforms like Azure, AWS or GCP

• Observability and monitoring using logs, metrics and traces

• Authentication, authorization and basic application security

• Vector databases, RAG patterns or agent orchestration

• Service design, UX or consulting environments

If you are strong in some areas and still growing in others, that is completely fine.

You probably recognize yourself in several of these:

• You prefer building and shipping over endless discussion

• You enjoy solving real business problems, not just technical puzzles

• You are comfortable making decisions and improving things as you go

• You can explain complex ideas in simple language

• You like collaborating closely with teammates and users

• You handle ambiguity well and help bring structure when needed

• You are curious about new models, tools and ways of working

• You speak Dutch at a conversational level and feel comfortable using it with colleagues and clients

We keep things pragmatic and human.

We start small, ship fast and iterate. We work collaboratively without ivory-tower architecture. We build technology for people, not for its own sake. Our culture is calm and low-ego, with high ownership and trust. We experiment, learn, and improve continuously.

• You will work on AI that is used by real companies within weeks, not years

• You get real autonomy and room to experiment

• You will work with modern tools and models as they emerge

• You will be trusted to take responsibility and make decisions

• You join a flat, grown-up organization with honest communication

• Hybrid flexibility with room for both focus and shared coffee

• Great colleagues, good conversations, and genuinely good coffee

Our process is simple and practical:

1. An informal intro call of around 30 minutes to get to know each other

2. A hands-on collaboration session (1 hour) where we build a small AI agent together using GitHub Copilot or Claude Code, and talk through how you think, how you guide AI and make engineering decisions.

3. A deeper technical and cultural conversation - a deep dive into experience, architecture thinking, and ways of working.

4. Offer and contract if it feels like a good fit on both sides

No brainteasers. No whiteboard puzzles. Just real engineering.

Send us your CV, GitHub, LinkedIn or whatever best shows what you have built. A short note about why you are interested is always appreciated.

Not sure yet? That is okay. Let us grab a coffee and see if there is a fit.

We review applications on an ongoing basis and will reach out as soon as we see a potential match. The role will be filled as soon as we find the right person.