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

<p>At Machine Learning Reply, we help organizations turn cutting-edge AI technologies into real-world applications and scalable digital products.</p><p style="min-height: 1.7em;"></p><p>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.</p><p style="min-height: 1.7em;"></p><p>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.</p><p style="min-height: 1.7em;"></p><p>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.</p><p style="min-height: 1.7em;"></p><p><strong><span style="color:#121317">Tasks</span></strong></p><p>As an AI Application Engineer, you design and build AI-powered applications and product features for enterprise clients.</p><p>Your projects may include:</p><ul><li><p>Designing and developing AI applications, such as enterprise assistants, AI copilots, semantic search platforms and intelligent automation systems</p></li><li><p>Building LLM-powered applications using Retrieval-Augmented Generation (RAG) and modern AI frameworks</p></li><li><p>Developing end-to-end AI products, integrating LLM APIs, enterprise data sources and backend services</p></li><li><p>Designing scalable AI microservices and APIs to integrate AI capabilities into enterprise platforms</p></li><li><p>Implementing vector search, embeddings pipelines and knowledge retrieval systems</p></li><li><p>Rapidly prototyping AI product features and proof-of-concepts and evolving them into production systems</p></li><li><p>Collaborating closely with product managers, designers, AI engineers and enterprise customers to develop impactful AI solutions</p></li><li><p>Deploying AI systems to cloud platforms and production environments using modern DevOps practices</p></li><li><p>Ensuring reliable, scalable and observable AI services through CI/CD pipelines, monitoring and containerized deployments</p></li></ul><p style="min-height: 1.7em;"></p><p><strong><span style="color:#121317">Benefits</span></strong></p><ul><li><p>Work in an open and collaborative environment within the global Reply network and build next-generation AI applications and intelligent digital products</p></li><li><p>Collaboration with interdisciplinary teams including AI engineers, software developers and data scientists across industries such as Banking, Insurance, Automotive and Retail</p></li><li><p>A very active social program including paid training, conferences, communities of practice, hackathons and Reply XChange</p></li><li><p>Monetary Benefits include: Mobility package, Gym subsidy &amp; WellPass, Insurance &amp; Pension Scheme, Corporate Savings Plan, KiTa and Childcare Allowance</p></li><li><p>Flexible work arrangement between home office, EU-wide workation options, on site office-work in our downtown Munich office with access to Stammstrecke, and client on site visits</p></li></ul> <br> <p><strong><span style="color:#121317">Requirements</span></strong></p><ul><li><p>Degree in&nbsp;Computer Science, Software Engineering, Data Science or a comparable technical field</p></li></ul><ul><li><p>Convincing communication and presentation skills in&nbsp;German and English in order to participate in workshops of both languages</p></li><li><p>Strong programming skills in&nbsp;Python&nbsp;and modern backend frameworks</p></li><li><p>Experience building&nbsp;applications using AI, machine learning or generative AI technologies</p></li><li><p>Familiarity with&nbsp;Retrieval-Augmented Generation (RAG)&nbsp;and vector databases</p></li><li><p>Familiarity with&nbsp;cloud platforms such as AWS, Azure or GCP</p></li><li><p>Engaging directly with enterprise clients to understand their business challenges and identify high-impact opportunities for AI-driven solutions</p></li></ul><p style="min-height: 1.7em;"></p><p class="MsoNormal"><strong><span style="color:#121317">Nice to have</span></strong></p><ul><li><p>Experience running technical workshops or facilitating solution design sessions</p></li></ul><ul><li><p>Experience developing&nbsp;APIs, microservices and scalable backend systems, including vector databases</p></li><li><p>Experience with&nbsp;containerization and DevOps practices (Docker, CI/CD pipelines, Kubernetes or similar)</p></li><li><p>Experience with frameworks such as&nbsp;LangChain, LlamaIndex or HuggingFace</p></li><li><p>Experience deploying&nbsp;AI services in cloud environments</p></li><li><p>Knowledge of&nbsp;AI observability, monitoring, and evaluation of LLM systems</p></li></ul><p style="min-height: 1.7em;"></p><p class="MsoNormal"><strong><span style="color:#121317">Example projects you may work on</span></strong></p><ul><li><p>Enterprise&nbsp;AI knowledge assistants</p></li><li><p>AI copilots&nbsp;for internal business tools</p></li><li><p>Semantic search platforms&nbsp;for enterprise data</p></li><li><p>Document intelligence systems&nbsp;powered by LLMs</p></li><li><p>AI agents and automation systems&nbsp;for enterprise workflows</p></li></ul><p>Find more <a href="https://www.arbeitnow.com/english-speaking-jobs">English Speaking Jobs in Germany</a> on Arbeitnow</a>