Generative AI Engineer: Scale Agentic Solutions (Hybrid)

netconomy

Graz

Hybrid

EUR 50.000 - 61.000

Vollzeit

14 Tage+
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Benefits dieser Stelle

Flexible Working Models
Career Development and Onboarding
Company Summit
Social Events
Snacks and Wellbeing
Mobility Support

Zusammenfassung

NETCONOMY offers a dynamic environment where an AI Engineer will design end-to-end Generative AI solutions, build AI agents, and deploy RAG pipelines. You will work with cross-functional teams to deliver scalable, robust AI systems and stay at the forefront of AI research.

You will lead PoCs, evaluate cutting-edge models, and communicate directly with clients to tailor AI-driven solutions, leveraging cloud AI platforms and modern MLOps practices. Hybrid work in Graz, with strong growth potential.

Qualifikationen

  • 3+ years of experience in Applied AI or Machine Learning in the industry.
  • Experience building Generative AI and Agentic applications at scale.
  • Familiarity with agent development tools and frameworks.
  • Proven ability to research and evaluate AI technologies and models.
  • Knowledge of Cloud AI offerings on GCP/AWS/Azure and AutoML/Custom models.
  • Strong communication skills and eagerness to stay updated with AI trends.

Aufgaben

  • Design end-to-end Generative AI solutions, AI agents, and RAG pipelines.
  • Collaborate with cross-functional teams to deliver scalable AI systems.
  • Research and evaluate emerging AI models and agentic frameworks.
  • Work independently on PoCs to prove feasibility of solutions.
  • Interface with clients to tailor AI-driven solutions.

Kenntnisse

AI/ML experience
Generative AI
Agentic apps
Agent development
AI research
Cloud AI (GCP/AWS/Azure)
Communication
Industry trends

Tools

Docker
Kubernetes
LangGraph
ADK
Vector Search

Jobbeschreibung

NETCONOMY offers a dynamic environment where an AI Engineer will design end-to-end Generative AI solutions, build AI agents, and deploy RAG pipelines. You will work with cross-functional teams to deliver scalable, robust AI systems and stay at the forefront of AI research.

You will lead PoCs, evaluate cutting-edge models, and communicate directly with clients to tailor AI-driven solutions, leveraging cloud AI platforms and modern MLOps practices. Hybrid work in Graz, with strong growth potential.

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