GenAI Engineer (all genders) - Data & Analytics
Vienna Insurance Group
| Company | Vienna Insurance Group |
| Category | Uncategorised |
| Location | Vienna, Austria |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | EUR 51k |
| Posted | 6 Jun 2026 |
| Last verified | 12 Aug 2026 |
| Source | The employer's own careers page (company_site) |
Description
As a GenAI Engineer in the Data & Analytics team at Vienna Insurance Group, you collaborate with data teams to design maintainable GenAI products for departments and companies across the Group. You design, build and operate LLM-based solutions such as RAG applications, copilots/assistants, agentic workflows, and fine-tuned models. You establish end-to-end LLMOps practices including prompt/model versioning, evaluation, testing, deployment, monitoring, and guardrails.
Responsibilities:
• Design, build and operate LLM-based solutions: RAG applications, copilots/assistants, agentic workflows, and fine-tuned models
• Establish end-to-end LLMOps practices: prompt/model versioning, evaluation, testing, deployment, monitoring, and guardrails
• Deploy GenAI solutions into production for departments and companies across the Group
• Collaborate with data teams to design maintainable GenAI products
Requirements:
• A completed degree in Computer Science, Software Engineering, Information Systems, Data Science, AI, or equivalent practical experience
• Strong Python proficiency
• Practical experience building LLM applications with RAG, fine-tuning, prompt engineering, evaluation, and tool use/function calling
• Experience with Databricks and/or Azure-based LLM services, vector search, APIs, and deploying GenAI solutions into production
• Understanding of data pipelines, security, governance, and responsible AI considerations
Conditions: Full-time (37.5 hours/week), permanent, hybrid with home-office options. Minimum salary per the collective agreement of EUR 3,668.49 gross per month; actual compensation is market-compliant based on qualifications and experience. Benefits include flexible hours, learning opportunities, modern workspace, and health offerings.