Senior Generative AI Engineer

We 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.

Responsibilities & Tasks

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Develop and deploy production-ready GenAI and RAG solutions using modern AI engineering practices.

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Build scalable APIs, data pipelines, and integrations for AI-powered enterprise applications.

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Collaborate with Data Engineers, Cloud Engineers, DevOps teams, and business stakeholders to deliver operational AI solutions.

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Monitor, optimize, and fine-tune machine learning and GenAI applications in production environments.

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Support CI/CD processes, automated deployments, observability, and AI platform reliability.

Requirements & Qualifications

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5–8 years of experience in Data Science, AI Engineering, or related roles.

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Strong expertise in Generative AI, RAG architectures, prompt engineering, and context management.

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Experience with tools and frameworks such as LangChain, LangFuse, NeMo Guardrails, Spring AI, and Azure AI services.

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Solid skills in Python and Java, plus experience with APIs, CI/CD, OpenTelemetry, and cloud-native deployments on Azure.

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Fluent German (C2 level) and strong English communication skills (B2 or higher).

Benefits & Culture

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Work on innovative AI and cloud projects using modern technologies and scalable architectures.

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Join a collaborative, cross-functional engineering environment focused on continuous learning and technical excellence.

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Long-term project opportunity with strong potential for professional growth and impactful work.

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