
Senior Integration Engineer – AI Platform
Posted Aug 12

Posted Aug 12
This is a fully remote position, open to applicants in Germany.
• Collaborate with AI Solutions Managers to convert customer needs into technical solutions.
• Extract, cleanse, and transform data for integration into the RAG pipeline.
• Create specialized features that are not yet available in the core platform.
• Rapidly iterate based on customer feedback and solidify solutions into reliable services.
• Construct data and extraction pipelines from unstructured sources to AI-ready services.
• Develop tools and integrations with customer APIs, ticketing systems, and internal systems.
• Design knowledge-base frameworks to enhance retrieval and embedding quality.
• Set standards for reproducibility and service quality.
• Experience in delivering production-ready Python services.
• Familiarity with Docker.
• Practical experience with RAG and LLM agents or agentic workflows, either in a professional capacity or through significant side projects.
• Proficiency in text manipulation and data wrangling.
• Expertise in agentic coding.
• Evidence of completed projects, such as public repositories, a take-home task, or a demonstration of a private project.
• Comprehensive understanding from requirements to stable service.
• Capability to write production-quality Python code.
• Ability to make informed technical decisions regarding LLM behavior, embeddings, ingestion, chunking, and retrieval.
• Comfortable addressing fuzzy and underdetermined challenges.
• Background in data engineering is advantageous.
• Experience with CI/CD and cloud platforms, especially AWS or Azure, is a plus.
• Proficiency in English as the working language.
• Knowledge of German at a B2 level is beneficial for handling German-speaking customer data but is not mandatory.
• Options for remote and hybrid work.
• Flat organizational hierarchies.
• Well-defined structures.
• Opportunity to take ownership and contribute to shaping the implementation team.
• Utilize AI tools such as Claude and Cursor as part of the workflow.
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