GenAI Engineer (m/w/d)

Your mission

Your Mission: Next-Generation Intelligent Systems

Design and Implement AI Solutions

• Focus on GenAI: Conceptualize and implement modern RAG architectures (Retrieval Augmented Generation), agent-based workflows, and generative AI use cases.

• Modeling & Integration: Select and fine-tune LLMs and integrate them into productive business processes.

• Foundation: While your focus is on Generative AI, you leverage your knowledge of classical machine learning and deep learning to create hybrid solutions where LLMs alone are not sufficient.

Ownership of End-to-End Solutions

• Production-Ready AI: You take GenAI applications from the initial prompt idea through prototyping to scalable deployment (LLMOps).

• Data & Orchestration: Build and optimize data foundations for agents and vector databases, and orchestrate complex workflows and agents.

• Quality Assurance: Ensure stability, evaluate model outputs (guardrails), and optimize performance.

Advisory & Collaboration

• Technology Translator: You explain to stakeholders the difference between “hype” and real business value and translate complex architectures into clear decision-making proposals.

• Interdisciplinary Work: Collaborate closely with business analysts and software engineers to seamlessly embed AI into existing software ecosystems.

Continuous Learning & Knowledge Sharing

• State-of-the-Art: You monitor rapid developments in LLMs, multimodal models, and agent frameworks.

• Knowledge Transfer: Actively contribute to internal formats and prototype new features for the attempto Academy.

Your profile

Technical Profile (Focus on GenAI)

• Frameworks: You are confident in working with one or more LLM/agent orchestration tools such as LangChain, LangGraph, PydanticAI, Google ADK, OpenAI Agent SDK, LlamaIndex, or Haystack.

• GenAI Stack: Practical experience with prompt engineering, embeddings, and building and managing vector databases (e.g., Pinecone, Weaviate, Milvus, or Chroma).

• Language Skills: Excellent Python knowledge forms your foundation.

Technical Understanding & Fundamentals

• Cloud & Deployment: Experience with cloud AI services (Azure OpenAI, AWS Bedrock, or GCP Vertex AI) as well as Docker/Kubernetes.

• Architecture: Solid understanding of APIs, microservices, and data pipelines.

• AI Fundamentals: You understand the mathematics behind deep learning and have worked with libraries such as PyTorch or TensorFlow, which helps you understand GenAI models in depth.

Work Style

• Pioneering Spirit: You are eager to work in a field that reinvents itself every week.

• Analytical Skills: You work in a structured manner and maintain an overview even in complex system architectures.

• Communication: You can convey technical concepts confidently and appropriately for your audience and have excellent German and English skills.

Nice to Have

• Advanced experience in MLOps or data engineering.

• Project experience in regulated environments (e.g., banking, insurance).

• Knowledge of frontend technologies (e.g., Streamlit, React, Copilotkit/AG-UI) for rapid creation of AI demos and compelling GenAI web apps.

Why us?

• JobRad - leasing offer with employer subsidy
• JobTicket - tax-free employer contribution
• Contractually regulated training - targeted personal and professional development
• Company pension plan - additional employer contribution to the insurance premium
• Cool office with plenty of space for creativity - remote work from home possible depending on the project
• Shaping attempto - management actively involves employees
• Mentoring program - mentors for new employees
• Numerous company events - summer party, Oktoberfest celebration, year-end party, and more
• Knowledge transfer - various internal training and knowledge-sharing opportunities
• Fit-at-work programs - health days, company runs, and more
• Regional assignment - mostly local and long-term project deployment
• Successful teamwork - fostered through openness and team cohesion
• Innovative projects - at client sites and in the attempto Innovation Workshop

Noch Fragen?

Telefon: 089 2170377-77

E-Mail: [email protected]