Applied AI Engineer - Conversational Analytics 2

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

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

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

Please use our online application and attach your resume.