Job
- Level
- Experienced
- Job Field
- Software, Data
- Employment Type
- Part Time/Full Time
- Contract Type
- Permanent employment
- Location
- Karlsruhe, Munich, Münster (Hessen)
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop innovative AI solutions, implement RAG architectures, integrate LLMs into business processes, and optimize complex workflows using GenAI technologies.
Job Technologies
Your role in the team
- Your mission: Next-generation intelligent systems
- Design and implement AI solutions
- Focus on GenAI: Design and implementation of modern RAG architectures (Retrieval Augmented Generation), agentic workflows, and generative AI use cases.
- Modeling & Integration: Selection and fine-tuning of LLMs as well as their integration into operational business processes.
- Foundation: While your focus is on Generative AI, you leverage your knowledge of classical Machine Learning methods and Deep Learning to create hybrid solutions where LLMs alone are insufficient.
- Responsibility for end-to-end solutions
- Production-Ready AI: You bring GenAI applications from the initial prompt idea through to the prototype and scalable deployment (LLMOps).
- Data & Orchestration: Building and optimizing the data foundation for agents, vector databases, as well as orchestrating complex workflows and agents.
- Quality Assurance: Ensuring stability, evaluating model outputs (guardrails), and performance optimization.
- Consulting & Collaboration
- Technology Translator: You explain to stakeholders the difference between "hype" and real business value, and translate complex architectures into clear decision-making templates.
- Interdisciplinarity: Close collaboration with Business Analysts and Software Engineers to seamlessly integrate AI into existing software ecosystems.
- Further Development & Knowledge Sharing
- State-of-the-Art: You observe the rapid developments in the field of LLMs, multimodal models, and agent frameworks.
- Knowledge transfer: Active participation in shaping internal formats and prototyping new features for the attempto Academy.
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Our expectations of you
Qualifications
- Professional Profile (Focus on GenAI)
- Frameworks: You are proficient in handling one or more LLM/Agent orchestration tools such as LangChain, LangGraph, PydanticAI, Google ADK, OpenAI Agent SDK, LlamaIndex, or Haystack.
- Language genius: Excellent Python skills are your foundation.
- Technical understanding & basics
- Architecture: Solid understanding of APIs, microservices, and data pipelines.
- AI Foundation: You understand the mathematics behind Deep Learning and have already worked with libraries such as PyTorch or TensorFlow - this helps you to understand GenAI models more deeply.
- Working Method
- Pioneering spirit: You are eager to work in a field that reinvent itself weekly.
- Analytics: You work in a structured manner and keep an overview even of complex system architectures.
- Communication: You can confidently and appropriately convey technical concepts to the target audience and have very good German and English skills.
- Nice to have
- Knowledge of frontend technologies (e.g., Streamlit, React, Copilotkit/AG-UI) for rapid development of AI demos and compelling GenAI web apps.
Experience
- GenAI Stack: Practical experience with Prompt Engineering, Embeddings, and the development and management of Vector Databases (e.g., Pinecone, Weaviate, Milvus, or Chroma).
- Cloud & Deployment: Experience with Cloud AI services (Azure OpenAI, AWS Bedrock, or GCP Vertex AI) as well as Docker/Kubernetes.
- More in-depth experience in MLOps or Data Engineering.
- Project experience in a regulated environment (e.g., banking, insurance).
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Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Attempto
attempto is an experienced IT service provider that helps banks, insurance companies, industrial businesses, and retailers implement complex IT projects. Our deep expertise and commitment to each project ensures that our clients are always satisfied with the results.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Banking, Finance, Insurance, Consulting, Internet, IT, Telecommunication
GenAI Engineer
- Location
- Karlsruhe, Munich, Münster (Hessen)
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
