Artificial Intelligence Engineer

RequirementsMust-have:German FluencyData engineering pipelines (preprocessing, ingestion, transformation)LLMs (LangChain/LangGraph or OpenAI SDK) / AI systems in productionPrompt engineering, structured outputs, and HITL designStrong Python Skills, async patternsAPIs (e.g. FastAPI)Handling unstructured data (PDFs, OCR, images)Multi-modal AI (text + image)Real-time / low-latency systemsCloud & infrastructure (Terraform)Docker, testing pyramids & CI/CD pipelinesCRM integrationsUnderstanding of: Data quality, validation & monitoring, Security / filtering layers in AI systemsNice to Have:Event-driven architecture experience with Azure Service Bus or equivalent (Kafka, RabbitMQ), async workers, and fan-out/join patternsHands-on LLM observability and evals with Langfuse or equivalentAzure-native services: Container Apps, KEDA autoscaling, IAM, secrets managementExpectations:Strong AI Engineering mindset, but hands-on with dataComfortable working across different areas (AI, data, backend)Flexible and pragmatic ("not just LLM modeling")Able to work in early-stage, evolving environmentsTasksDesign & implement data pipelines and preprocessing workflowsWork with LLMs in production environmentsContribute to: Prompt engineering, Model orchestration, Evaluation & quality assuranceSupport multi-modal processing (text, PDFs, images)Integrate AI components into existing systems & APIsInfrastructure as Code (Terraform)Service architectureDigisourced is supporting a client on a contract AI Engineer requirement for delivery on an international programme.Digisourced is acting as an employment business in relation to this vacancy.