- Company: Get A Job.ai
- Location: Nürnberg
- Salary: Pay not listed
Website Get A Job.ai
Represented by Get A Job.ai
About This Opportunity
Our talent team is representing a confidential technology client in Nürnberg seeking an experienced AI Engineer to join their specialized team working on production-grade generative AI systems. This is an opportunity to work hands-on with cutting-edge multi-agent architectures, RAG implementations, and LLM applications in a collaborative environment that values iterative development and knowledge sharing.
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 prompt engineering techniques
- Create data engineering pipelines for preprocessing, entity resolution, and data harmonization
- Integrate LLM applications into existing system landscapes
- Conduct evaluation, monitoring, and performance optimization of production AI systems
- Collaborate closely within cross-functional teams
What We're Looking For
- Several years of experience with production-ready GenAI and multi-agent systems
- Strong knowledge of agent engineering and frameworks such as LangGraph, AutoGen, or CrewAI
- Excellent Python skills with hands-on experience using LangChain and LangGraph
- Experience working with LLM APIs (Claude, OpenAI, Gemini) and fine-tuning techniques (SFT, RLHF)
- Expertise in document processing and handling structured/unstructured data
- Solid data engineering background including ETL, preprocessing, and data pipelines
- Understanding of production ML including deployment, monitoring, and performance optimization
- Very strong German language skills (C1 level) and good English proficiency
- Strong teamwork and collaboration abilities
Bonus qualifications (not required): Knowledge of knowledge graphs, semantic web, or graph ML; experience with cloud AI platforms and MLOps tools such as AWS Bedrock, MLflow, Docker, Kubernetes; domain knowledge in tax, legal, or finance sectors.
How We Work With You
When you apply through Get A Job.ai, one of our recruiters will review your profile and conduct an initial screening to understand your experience and career goals. If there's a strong match, we'll submit your candidacy to our client for consideration. Please do not contact the client directly—all communication flows through our team to ensure a smooth, professional process for everyone involved.
Pay
Compensation details will be discussed during the screening process and are competitive with market rates for this level of AI engineering expertise.
Get A Job.ai is an equal opportunity recruiter. We welcome applications from candidates of all backgrounds and are committed to fostering an inclusive hiring process.
Apply with Get A Job.ai
A recruiter will review your profile and submit you to the client. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you.
Local insights for this role are preparing — this section updates automatically in a few seconds (or refresh).
Listing facts
- Role AI Engineer (m/w/d)
- Employer Get A Job.ai
- Location Nürnberg
- Type Full Time
- Pay (from listing) Pay not listed
- Posted September 3, 2026
- Apply by October 3, 2026
- Country Germany
- Overview Full job description on this page (389 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
Typical work in AI engineer
Independent occupational context from O*NET (U.S. public-domain labor data). This is about the occupation, not a rewrite of this employer's posting.
- Analyze problems to develop solutions involving computer hardware and software.
- Apply theoretical expertise and innovation to create or apply new technology, such as adapting principles for applying computers to new uses.
- Assign or schedule tasks to meet work priorities and goals.
- Meet with managers, vendors, and others to solicit cooperation and resolve problems.
- Design computers and the software that runs them.
- Conduct logical analyses of business, scientific, engineering, and other technical problems, formulating mathematical models of problems for solution by computers.
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Occupation family: AI engineer
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