AI Solution Engineer CRM

Do you want to develop AI solutions that truly make a difference in everyday life? With you, we bring modern Generative AI technologies along the entire Customer Journey from the idea to productive operation. You develop AI Agents, integrate Large Language Models into the CRM environment around Support, Sales and Marketing, and connect their interfaces with internal data and business applications. In doing so, you work in an agile DevOps team that shares responsibility for its solutions.

What you can achieve

• You develop AI Agents, assistants and automated solutions and integrate these into CRM-adjacent processes, internal applications and customer-centric workflows.
• In doing so, you connect Large Language Models with APIs, data sources and tools and work with Tool Calling, structured outputs, context management as well as MCP servers.
• You develop automated evaluations and regression tests, compare models and versions and assess quality, reliability, latency and costs.
• You accompany the entire lifecycle of the AI solutions, analyze the impact of model and API upgrades and optimize prompts, context, model selection and application logic.
• You develop prototypes rapidly, translate functional requirements into actionable technical solutions and recognize when AI, deterministic logic or a combination of both makes sense.
• You work in an agile DevOps team, operate the solutions together with your colleagues and support the team through pairing, code reviews and technical discussions.
• As a link between business and IT, you provide consulting in projects regarding the use of AI and ML topics and develop innovative and digital instruments with the help of modern technologies.

What you bring with you

• You have a university degree of applied sciences in computer science or a comparable technical education and bring experience in the implementation of AI integration projects throughout the entire lifecycle.
• Sound practical experience with LLM-based applications distinguishes you, and you have a good understanding of modern AI Agent concepts such as Tool Calling, context management, evaluations, fallback mechanisms and Human-in-the-Loop processes.
• Experience in the integration of AI solutions into CRM or customer-oriented processes, for example in Customer Service, in the processing of customer inquiries or in chat solutions, completes your profile.
• With your know-how in the systematic evaluation of LLM solutions, you develop evaluation datasets, automated tests as well as robust release criteria for model, prompt and application changes.
• Thanks to your knowledge in Prompt and Context Engineering, you specifically optimize AI solutions with regard to quality, token consumption, latency, costs and model dependencies.
• You know basic RAG concepts such as Embeddings, Chunking, vector search, metadata filtering and citations; an understanding of data semantics, ontologies or Knowledge Graphs is an advantage. You are familiar with Git, REST APIs, SQL, containers, existing Kubernetes deployment templates and basic CI/CD processes.
• Good German and English skills complete your profile. French skills are an advantage.