Senior Generative AI Engineer

pbOccupancy: 100% /Start date: /Initial duration:12 months /b /p pWe are looking for an experienced Senior Data Scientist to help design and deliver enterprise-grade Generative AI solutions with a strong focus on Retrieval-Augmented Generation (RAG). You will work in a collaborative DevOps environment, building scalable AI applications and driving innovation across modern cloud platforms. /p h3Responsibilities Tasks /h3 ul lipDevelop and deploy production-ready GenAI and RAG solutions using modern AI engineering practices. /p /li lipBuild scalable APIs, data pipelines, and integrations for AI-powered enterprise applications. /p /li lipCollaborate with Data Engineers, Cloud Engineers, DevOps teams, and business stakeholders to deliver operational AI solutions. /p /li lipMonitor, optimize, and fine-tune machine learning and GenAI applications in production environments. /p /li lipSupport CI/CD processes, automated deployments, observability, and AI platform reliability. /p /li /ul br/ h3Requirements Qualifications /h3 ul lip5–8 years of experience in Data Science, AI Engineering, or related roles. /p /li lipStrong expertise in Generative AI, RAG architectures, prompt engineering, and context management. /p /li lipExperience with tools and frameworks such as LangChain, LangFuse, NeMo Guardrails, Spring AI, and Azure AI services. /p /li lipSolid skills in Python and Java, plus experience with APIs, CI/CD, OpenTelemetry, and cloud-native deployments on Azure. /p /li lipFluent German (C2 level) and strong English communication skills (B2 or higher). /p /li /ul h3Benefits Culture /h3 ul lipWork on innovative AI and cloud projects using modern technologies and scalable architectures. /p /li lipJoin a collaborative, cross-functional engineering environment focused on continuous learning and technical excellence. /p /li lipLong-term project opportunity with strong potential for professional growth and impactful work. /p /li /ul #J-18808-Ljbffr