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

At Machine Learning Reply, we help companies transform state-of-the-art AI technologies into real applications and scalable digital products.

To strengthen our team, we are looking for a Junior AI Application Engineer who enjoys developing 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 developing user-centric AI applications and transforming AI capabilities into scalable products.

In this role, you will work at the interface of AI Engineering, Backend Development, Product Development, and Cloud Deployment to build production-ready AI systems that create real business value.

Tasks

As a Junior AI Application Engineer (m/f/d), you will design and develop AI-powered applications and product features for enterprise clients. Your responsibilities include:

• Conceptualization and development of AI applications such as enterprise assistants, copilots, semantic search platforms, and automation systems

• Support in the development of LLM-based solutions (incl. RAG) as well as end-to-end AI products by integrating APIs, enterprise data, and backend services

• Building scalable AI microservices, APIs, and vector search, embedding, and retrieval systems

• Rapid prototyping of AI features and their further development into productive systems

• Close collaboration with product managers, designers, AI engineers, and clients to develop impactful solutions

• Deployment of AI systems in cloud and production environments using modern DevOps practices

• Ensuring reliability, scalability, and observability through CI/CD, monitoring, and containerized deployments

Benefits

• HYBRID WORKING

• COMPANY EVENTS

• EXPERT NETWORK

• CERTIFICATIONS

• Regular and systematic (external and internal) training opportunities in the fields of Generative AI, LLM development, cloud architecture, and data science

• Work in an open, flat environment, within a broad Reply network for knowledge exchange

• Award-winning office spaces in the center of Munich with access to the Stammstrecke

• Public transport ticket with Deutschlandticket

• Contribution to your sports activities via the EGYM Wellpass and other benefits of the Reply Group

• Flexible working environment between clients, Reply office, and remote work

Requirements

• Completed degree in Computer Science, Software Engineering, Data Science, or a comparable technical field

• Programming skills in Python and modern backend frameworks, as well as experience with AI, Machine Learning, and Generative AI applications

• Initial experience in the development of scalable backend systems, APIs, and microservices, as well as knowledge of RAG, vector databases, and retrieval technologies

• Practical experience in containerization and DevOps (e.g., Docker, CI/CD, Kubernetes) as well as deployment of AI services in cloud environments (AWS, Azure, GCP)

• Exposure to relevant frameworks (e.g., LangChain, LlamaIndex, Hugging Face)

• Knowledge of monitoring, observability, as well as evaluation and optimization of LLM systems

• Very good German and English language skills for workshops and communication

Example projects you might work on

• Enterprise AI Knowledge Assistants

• AI Copilots for internal business tools

• Semantic search platforms for enterprise data

• Document intelligence systems based on LLMs

• AI agents and automation systems for enterprise workflows

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