AI Engineer / AI Architect – Build Real AI Systems (LLMs, Agents)

About

This is a chance to take ownership of how AI is actually used inside a software company - shaping real products, improving internal processes, and building autonomous systems that deliver tangible value.

You’ll be the person who answers:

• Where does AI genuinely improve our product?
• What should we build vs what’s just hype?
• How do we turn AI from experiments into production-ready systems?

If you’re someone who understands how AI works under the hood - and wants the freedom to apply it properly - this role gives you that platform.

What you’ll be doing

You’ll operate at the intersection of engineering, architecture, and product thinking.

• Design and implement AI-driven features across products and internal systems
• Build and experiment with LLM-based solutions, AI agents, and autonomous workflows
• Translate business problems into scalable AI architectures
• Act as the internal AI expert — guiding decisions, challenging assumptions, and driving adoption

What matters for this role

• You have solid software engineering experience (Python preferred)
• You’ve worked hands-on with LLMs, NLP, or modern AI frameworks
• You can explain concepts clearly (e.g. how LLMs generate outputs, when to use RAG vs fine-tuning)
• German is essential (all internal communication is in German)

Why this role is different

• Real ownership – you’ll shape how AI is used across the business
• Direct impact – your work influences both product and internal efficiency
• Fast decision-making – no heavy corporate layers slowing you down

You’ll join a stable, well-established software company with a strong product in the tax/ERP space, combined with a modern, pragmatic engineering culture.

The team is collaborative, low on hierarchy, and open to new ideas - which is critical for a role focused on innovation.

Keywords: AI, AI Engineer, AI Architect, LLM, NLP, Python, Autonomous Systems, AI Agents, Prompt Engineering, Embeddings, Machine Learning, Frankfurt