AI Engineer | AI Engineer (f/m/x) - Berlin - Hybrid
NETCONOMY
Job Summary
This AI Engineer role in Berlin focuses on driving innovation by implementing cutting-edge Generative AI solutions and intelligent agentic systems. The successful candidate will be responsible for designing and implementing end-to-end Generative AI solutions, including AI agents and RAG (Retrieval-Augmented Generation) pipelines, to solve complex business challenges. Day-to-day tasks involve collaborating with cross-functional teams, providing technical expertise, conducting research on emerging AI models and frameworks, and developing Proof of Concepts (PoCs). Key requirements include 3+ years of experience in Applied AI or Machine Learning, proficiency in building Generative AI applications at scale using agentic frameworks and vector databases, and extensive knowledge of Cloud AI offerings (GCP, AWS, or Azure). This hybrid position offers flexible working models and the opportunity to work with a dynamic team at NETCONOMY, contributing directly to enhanced business capabilities through intelligent systems.
Required Skills
Education
Not specified
Experience
- 3+ years of experience in Applied AI or Machine Learning in the industry
- Proficiency in building Generative AI and Agentic applications at scale
- Direct experience or strong familiarity with agent development (e.g., LangGraph, Google Agent Development Kit (ADK), Agno)
- Proven experience in research and evaluation of emerging AI technologies, models, and frameworks
- Extensive knowledge of Cloud AI offerings on one of the Hyperscalers (GCP, AWS or Azure)
Languages
Additional
- Hybrid work model (Berlin location required)