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GenAI Engineer (all genders) - Data & Analytics

Vienna Insurance Group
CompanyVienna Insurance Group
CategoryUncategorised
LocationVienna, Austria
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryEUR 51k
Posted6 Jun 2026
Last verified12 Aug 2026
SourceThe employer's own careers page (company_site)
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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.