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# AI Engineer

- **Company:** Netconomy
- **Location:** Wien, Austria (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Machine Learning, Search Technologies, Google Cloud, Retrieval-Augmented Generation, Generative AI, AI Platforms, Integration Tests, Machine Learning Operations, Docker
- **Published:** September 25, 2026
- **Apply:** https://devjobs.at/team/netconomy/career

## About the Role

* 3+ years of experience in Applied AI or Machine Learning in the industry
 * Proficiency in building Generative AI and Agentic applications at scale , with expertise in using agentic frameworks , vector databases , grounding , and other relevant concepts
 * 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), including ready-to-use AI services , AutoML approaches , and custom model development
 * Strong and assertive communication skills
 * Passion for keeping up with industry trends and advancements in Generative AI and agentic systems

Beneficial Skills:

 * Hands-on experience with the Google Cloud AI/ML stack (e.g., Vertex AI , Gemini Models , Vector Search )
 * Experience with AI evaluation frameworks (e.g., RAGAs, LangSmith), writing integration tests , and establishing robust validation strategies for Generative AI and agentic applications
 * Knowledge of Docker and Kubernetes
 * Familiarity with CI/CD processes for MLOps/AIOps
 * A/B testing expertise for AI models and applications

## Description

* Designing and implementing end-to-end Generative AI solutions , AI agents , and RAG (Retrieval-Augmented Generation) pipelines to address business challenges and opportunities
 * Collaborating with cross-functional teams to understand requirements, providing technical expertise, and delivering scalable and robust AI solutions
 * Conducting research and evaluation of emerging AI models , agentic frameworks , and development kits
 * Working independently on Proof of Concepts (PoC) to validate and showcase the feasibility of proposed solutions
 * Conducting direct client communication to understand their needs and tailor AI-driven solutions accordingly


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