AI Engineer

Netconomy
Wien, Austria
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

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
+2 more
Machine Learning Operations Docker

Job 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

Requirements

  • 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

About the company

At NETCONOMY, we create digital platforms that help global brands become digital leaders. For more than 25 years, we have guided our customers through complex digital transformation journeys, designing intelligent solutions unlock productivity through data and Al and create future-ready business cores. Over 450 professionals across ten European locations make this work possible. What truly defines us is how we work together. Our teams collaborate across locations, with most teamwork happening seamlessly in a remote environment. At the same time, our office locations serve as hubs for in-person exchange and social connection, balanced with the flexibility to also work from home. Not only collaboration but also continuous learning is at the core of our culture. Therefore, we provide diverse development opportunities and evolving career paths across roles and disciplines, empowering our people to learn, develop, and shape their careers in an international environment. Ready to shape the digital future with us? Jump in!

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