AI Engineer (m/w/d)

About This Opportunity

We are representing a confidential technology organization based in Nürnberg that is building production-ready AI systems at the intersection of multi-agent architectures, knowledge graphs, and document intelligence. Our talent team is searching for an experienced AI Engineer to join a specialized team focused on transforming emerging technologies—LLMs, RAG, agentic systems, and graph-based AI—into reliable, reusable capabilities.

This is a hands-on role where you'll work iteratively and collaboratively with software engineers, knowledge engineers, data engineers, and product teams to design, deploy, and optimize sophisticated AI solutions.

Responsibilities

• Develop and operate production-ready multi-agent systems and autonomous workflows
• Design RAG architectures incorporating knowledge graphs and hybrid retrieval strategies
• Build document processing pipelines for information extraction from complex documents
• Fine-tune and optimize large language models and multimodal models
• Design agent stacks using modern standards including MCP and advanced prompt engineering
• Build data engineering pipelines for preprocessing, entity resolution, and data harmonization
• Integrate LLM applications into existing systems and infrastructure
• Evaluate, monitor, and optimize the performance of production AI systems
• Collaborate closely within cross-functional teams, sharing knowledge across project boundaries

What We're Looking For

Required:

• Multiple years of experience developing production-ready GenAI and multi-agent systems
• Strong expertise in agent engineering and frameworks such as LangGraph, AutoGen, or CrewAI
• Advanced Python skills with hands-on experience using LangChain and LangGraph
• Practical experience with LLM APIs (Claude, OpenAI, Gemini) and fine-tuning techniques (SFT, RLHF)
• Expertise in document processing and handling both structured and unstructured data
• Experience in data engineering: ETL, preprocessing, and building data pipelines
• Understanding of production ML practices including deployment, monitoring, and performance optimization
• Very strong German language skills (C1 level) and good English proficiency
• Excellent teamwork and collaboration skills

Bonus (not required):

• Knowledge of knowledge graphs, semantic web technologies, or graph ML
• Experience with cloud AI platforms and MLOps tools (AWS Bedrock, MLflow, Docker, Kubernetes)
• Domain knowledge in tax, legal, or finance sectors

How We Work With You

Candidates apply directly through Get A Job.ai. Our recruiting team will screen your application and conduct an initial interview to understand your background and goals. If there's a strong match, we will submit your profile to our client for consideration. Please do not contact the client directly—all communication flows through our team to ensure a smooth, professional process.

Pay

Compensation details will be discussed during the screening process based on your experience and the client's budget.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices and welcomes applications from all qualified candidates regardless of background.