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.