adorsys GmbH
5 days ago
AI Engineer (m/f/d)
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Company information
- Company
- adorsys GmbH
- Location
- Nürnberg Germany
- Posted
- 5 days ago
Job description
What awaits you
- Development and operation of production-ready multi-agent systems and autonomous workflows
- Conception of RAG architectures with knowledge graphs and hybrid retrieval strategies
- Building of document processing pipelines for information extraction from complex documents
- Fine-tuning and optimization of LLMs and multimodal models
- Design of agent stacks with modern standards such as MCP and prompt engineering
- Pipelines for preprocessing, entity resolution, and data harmonization (Data Engineering)
- Integration of LLM applications into existing systems
- Evaluation, monitoring, and performance optimization of productive AI systems
- Close collaboration in cross-functional teams
Your profile
- Several years of experience with production-ready GenAI and multi-agent systems
- In-depth knowledge of agent engineering and frameworks (e.g., LangGraph, AutoGen, CrewAI)
- Very good Python skills and experience with LangChain / LangGraph
- Experience with LLM APIs (Claude, OpenAI, Gemini) and fine-tuning (SFT, RLHF)
- Expertise in document processing and the processing of structured / unstructured data
- Experience in data engineering (ETL, preprocessing, data pipelines)
- Understanding of Production ML: deployment, monitoring, performance
- Very good German skills (C1), good English skills, and strong teamwork skills
- You get bonus points (not a must) for knowledge in knowledge graphs, semantic web, or graph ML. Experience with cloud AI platforms and MLOps (e.g., AWS Bedrock, MLflow, Docker, Kubernetes) and industry knowledge in tax, law, or finance
Who we are
You will become part of our Augmented AI Tribe. A team that turns new technologies like LLMs, RAG, agentic systems, graph-based AI, and NLP into reliable products and reusable capabilities. We combine scientific methodology with pragmatic engineering and deal with topics ranging from agentic ecosystems through neurosymbolic AI to sovereign and physical AI.
We work iteratively, hands-on, and co-creatively: sharing ideas early, questioning assumptions with evidence, and passing on knowledge across project boundaries. Leadership for us means enablement through trust and ownership, not micromanagement. You will have room to independently build and further develop current topics. You will be in close exchange with software engineers, knowledge engineers, data engineers, data architects, and product teams (m/f/d).
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Required skills
- docker
- teamwork
- english
- german
- monitoring
- finance
- tax
- etl
- python
- kubernetes
- nlp
- llm
- prompt engineering
- law
- claude
- genai
- gemini
- mcp
- data engineering
- performance
- data pipelines
- rag
- openai
- langgraph
- structured data
- deployment
- autogen
- multi-agent systems
- mlflow
- mlops
- langchain
- ai engineer
- crewai
- document processing
- graph ml
- fine-tuning
- llm apis
- aws bedrock
- multimodal models
- unstructured data
- production ml
- ai systems
- knowledge graphs
- preprocessing
- llm integration
- entity resolution
- physical ai
- semantic web
- rlhf
- sft
- agent engineering
- information extraction
- sovereign ai
- data harmonization
- autonomous workflows
- hybrid retrieval
- cloud ai platforms
- agent stacks
- neurosymbolic ai
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