AI Engineer | AI Engineer (f/m/x) - Dortmund - Hybrid
NETCONOMY
Job Summary
This crucial role involves driving innovation by designing and implementing cutting-edge Generative AI solutions and intelligent agentic systems. Day-to-day responsibilities include developing end-to-end Generative AI agents, RAG (Retrieval-Augmented Generation) pipelines to solve complex business challenges, and collaborating closely with cross-functional teams to deliver scalable solutions. The engineer will also conduct research and evaluation of emerging AI models and agentic frameworks, working independently on Proof of Concepts (PoCs), and engaging in direct client communication to tailor AI-driven solutions to their needs. Key qualifications include 3+ years of professional experience in Applied AI or Machine Learning, proficiency in building Generative AI applications at scale, and extensive knowledge of Cloud AI offerings across Hyperscalers like GCP, AWS, or Azure. The position offers a dynamic environment, hybrid work flexibility, structured onboarding, and strong career development support.
Required Skills
Education
Not specified
Experience
- 3+ years in Applied AI or Machine Learning in the industry
- Professional experience in building Generative AI and Agentic applications at scale
- Direct experience or strong familiarity with agent development (e.g., LangGraph, Google ADK, Agno)
- Proven experience in research and evaluation of emerging AI technologies, models, and frameworks
Languages
Additional
- List requirements not covered above: work permits, security clearances, specific certifications, location constraints, travel percentage, or other concrete prerequisites. Exclude benefits and nice-to-haves.