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.

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.

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

We’re happy to answer them!

Telefon: 089 2170377-77
E-Mail: jobs@attempto.eu

Attempto remote jobs

GenAI Engineer (m/w/d)