Job Description

• PLACE OF WORK
• 1112 Budapest, Boldizsár utca 2.
• AREA OF EMPLOYMENT
• IT
• START OF WORK
• as soon as possible
• EMPLOYMENT TYPE
• Full-time

megállapodás szerint

My responsibilities:

• Design, build, and operate conversational analytics assistants that let business users ask questions of company data in natural language and receive accurate, traceable answers
• Develop LLM-based applications and agents in Python, including text-to-SQL, tool calling, and retrieval over documents and business definitions
• Build and maintain evaluation pipelines, including test sets, automated regression checks, and answer quality monitoring, so every prompt, model, or data change is measured before release
• Ensure solutions are secure and compliant, with permissions enforced in the backend, protection against prompt injection, and responsible handling of personal data under GDPR
• Monitor and optimize production systems for accuracy, latency, and cost, including model selection, caching, and support for multiple languages
• Work closely with data engineers, analysts, and business stakeholders to turn requirements into reliable solutions, and document all technical processes to ensure operational continuity

The knowledge I own:

• Strong programming knowledge in Python, including building and testing production services and APIs
• Hands-on experience shipping LLM-based applications to production using managed model APIs
• Strong SQL knowledge and experience with text-to-SQL or other natural language interfaces over structured data
• Strong understanding of retrieval-augmented generation (document parsing, chunking, hybrid search, reranking)
• Experience evaluating LLM systems (building test sets, regression testing, using LLM-as-a-judge and knowing its limits)
• Good understanding of agent design, tool calling, structured outputs, and context management
• Basic understanding of LLM security (prompt injection, access control) and data protection requirements (GDPR)
• Basic understanding of data modelling principles and semantic layers (metric definitions, business glossaries)
• Pragmatic, data-centric mindset: chooses the simplest solution that works and measures before optimizing
• Structured, analytical thinking
• Strong communication skills, including explaining what AI can and cannot do to non-technical stakeholders
• Well-organized
• Practical experience with Databricks Genie, Microsoft Fabric AI Agents or SAP Joule is appreciated

The offer that would convince me:

• A constantly growing organization and increasing opportunities
• Secure, long-term job opportunity
• Varied and engaging job responsibilities
• The chance to build AI products used by colleagues across the international organization
• Outstanding salary
• Flexible work arrangements
• Home office possibility

Online application:

Please use our online application and attach your resume.

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