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AI Application Engineer – AI Products (LLM & RAG) (m/f/d)

Machine Learning Reply · Berlin, Berlin, Germany

Publicada em 19/09/2026

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At Machine Learning Reply, we help organizations turn cutting-edge AI technologies into real-world applications and scalable digital products.To strengthen our team, we are looking for an AI Application Engineer who enjoys building AI-powered solutions and intelligent product features using modern machine learning and generative AI technologies.While our GenAI Engineers focus on model development and AI architectures, AI Application Engineers focus on building user-facing AI applications and turning AI capabilities into scalable products.In this role, you will work at the intersection of AI engineering, backend development, product development and cloud deployment, building production-ready AI systems that create real business value.TasksAs an AI Application Engineer, you design and build AI-powered applications and product features for enterprise clients.Your projects may include:Designing and developing AI applications, such as enterprise assistants, AI copilots, semantic search platforms and intelligent automation systemsBuilding LLM-powered applications using Retrieval-Augmented Generation (RAG) and modern AI frameworksDeveloping end-to-end AI products, integrating LLM APIs, enterprise data sources and backend servicesDesigning scalable AI microservices and APIs to integrate AI capabilities into enterprise platformsImplementing vector search, embeddings pipelines and knowledge retrieval systemsRapidly prototyping AI product features and proof-of-concepts and evolving them into production systemsCollaborating closely with product managers, designers, AI engineers and enterprise customers to develop impactful AI solutionsDeploying AI systems to cloud platforms and production environments using modern DevOps practicesEnsuring reliable, scalable and observable AI services through CI/CD pipelines, monitoring and containerized deploymentsBenefitsWork in an open and collaborative environment within the global Reply network and build next-generation AI applications and
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