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AI Application Engineer – AI Products (LLM & RAG) (m/f/d)
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Job Description
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.
Tasks As 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 systems Building LLM-powered applications using Retrieval-Augmented Generation (RAG) and modern AI frameworks Developing end-to-end AI products, integrating LLM APIs, enterprise data sources and backend services Designing scalable AI microservices and APIs to integrate AI capabilities into enterprise platforms Implementing vector search, embeddings pipelines and knowledge retrieval systems Rapidly prototyping AI product features and proof-of-concepts and evolving them into production systems Collaborating closely with product managers, designers, AI engineers and enterprise customers to develop impactful AI solutions Deploying AI systems to cloud platforms and production environments using modern DevOps practices Ensuring reliable, scalable and observable AI services through CI/CD pipelines, monitoring and containerized deployments Benefits Work in an open and collaborative environment within the global Reply network and build next-generation AI
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