AI Application Engineer – AI Products (LLM & RAG) (m/f/d)
Machine Learning Reply · BE, DE
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About the Role
Machine Learning Reply helps organizations leverage AI to create real-world applications and scalable digital products. We are seeking an AI Application Engineer to build user-facing AI applications and intelligent product features using modern machine learning and generative AI technologies. This role involves working at the intersection of AI engineering, backend development, product development, and cloud deployment to create production-ready AI systems that deliver business value.
Responsibilities
- Design and build AI-powered applications and product features for enterprise clients.
- Design and develop AI applications, such as enterprise assistants, AI copilots, semantic search platforms, and intelligent automation systems.
- Build LLM-powered applications using Retrieval-Augmented Generation (RAG) and modern AI frameworks.
- Develop end-to-end AI products, integrating LLM APIs, enterprise data sources, and backend services.
- Design scalable AI microservices and APIs to integrate AI capabilities into enterprise platforms.
- Implement vector search, embeddings pipelines, and knowledge retrieval systems.
- Rapidly prototype AI product features and proof-of-concepts, evolving them into production systems.
- Collaborate with product managers, designers, AI engineers, and enterprise customers to develop impactful AI solutions.
- Deploy AI systems to cloud platforms and production environments using modern DevOps practices.
- Ensure reliable, scalable, and observable AI services through CI/CD pipelines, monitoring, and containerized deployments.
Requirements
- Degree in Computer Science, Software Engineering, Data Science, or a comparable technical field.
- Convincing communication and presentation skills in German and English.
- Strong programming skills in Python and modern backend frameworks.
- Experience building applications using AI, machine learning, or generative AI technologies.
- Familiarity with Retrieval-Augmented Generation (RAG) and vector databases.
- Familiarity with cloud platforms such as AWS, Azure, or GCP.
- Engage directly with enterprise clients to understand their business challenges and identify high-impact opportunities for AI-driven solutions.
- Experience running technical workshops or facilitating solution design sessions.
- Experience developing APIs, microservices, and scalable backend systems, including vector databases.
- Experience with containerization and DevOps practices (Docker, CI/CD pipelines, Kubernetes, or similar).
- Experience with frameworks such as LangChain, LlamaIndex, or HuggingFace.
- Experience deploying AI services in cloud environments.
- Knowledge of AI observability, monitoring, and evaluation of LLM systems.
Skills
- Python
- Backend frameworks
- AI
- Machine learning
- Generative AI
- Retrieval-Augmented Generation (RAG)
- Vector databases
- AWS
- Azure
- GCP
- Containerization
- DevOps
- CI/CD pipelines
- Docker
- Kubernetes
- LangChain
- LlamaIndex
- HuggingFace
- AI observability
- Monitoring
- LLM systems evaluation
Location
- Munich
- EU-wide
- Client on-site
Work Type
- Flexible work arrangement
- Home office
- Workation
- On-site office work
- Client on-site visits
Education Level
- Degree in Computer Science, Software Engineering, Data Science or a comparable technical field
Benefits
- Work in an open and collaborative environment within the global Reply network.
- Collaboration with interdisciplinary teams across industries.
- Active social program including paid training, conferences, communities of practice, hackathons, and Reply XChange.
- Mobility package.
- Gym subsidy & WellPass.
- Insurance & Pension Scheme.
- Corporate Savings Plan.
- KiTa and Childcare Allowance.
About the Company
- Machine Learning Reply helps organizations turn cutting-edge AI technologies into real-world applications and scalable digital products.