Senior AI Engineer

At 5Plus, we build production-grade AI systems that solve real operational problems for our customers.

As a Senior AI Engineer (m/f/d), you will take technical responsibility for customer-facing AI solutions — from early design decisions to production deployment and operation. You will design, build, and operate AI applications ranging from LLM-powered workflows (e.g., intelligent document processing, RAG systems) to agentic AI systems that are actively used in customer environments.

German language skills at C1 level or above are essential for this role.

You’ll work closely with customers and internal engineers to translate ambiguous requirements into reliable, scalable systems and guide AI-driven product development within customer projects. This role is hybrid, with predominantly remote work and occasional on-site presence at customer locations across Germany and our office in Würzburg, Bavaria.

Your profile

• Several years (3–6) of hands-on experience building and operating AI/ML systems in real-world projects.
• At least one practical implementation of agentic AI systems, beyond simple chains or demos, ideally in a production or near-production context.
• **Strong Python expertise (**app. 5 years) and experience with modern AI/LLM tooling; framework-agnostic mindset.
• Proven experience with LLM-based systems (e.g., RAG, embeddings, tool usage) and an understanding of trade-offs between quality, cost, latency, and complexity.
• Ability to work independently in customer-facing environments, taking ownership of technical decisions under uncertainty.
• Professional communication skills in customer contexts.
• Residence in Germany.

Bonus points to score

• Deeper experience with agentic architectures (planning, memory, multi-agent coordination).
• Experience deploying and operating AI services in cloud environments (AWS, Azure, etc.).
• Contributions to open-source projects, technical writing, or applied research.

Your daily business

• Design and ship end-to-end AI systems, from prototype to production.
• Build LLM-powered applications (incl. RAG, tool usage, validations) with a focus on reliability and cost-efficiency.
• Develop and operate agentic AI systems (e.g., planning, tool orchestration, multi-step workflows) with clearly defined safety and integrations into customers’ systems
• Define evaluation strategies (offline + online), including metrics, benchmarks, and moni