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

Worldwide | Oct. 23, 2026

Report as Closed

Company: Machine Learning Reply

Country: Worldwide

Type: Onsite

Employment: Full-time permanent

Description:

At Machine Learning Reply, we help companies turn cutting-edge AI technologies into real-world applications and scalable digital products.

To join 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, the focus of AI Application Engineers is on developing user-centric AI applications and transferring AI capabilities into scalable products.

In this role, you will work at the intersection 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-supported applications and product functions for corporate customers. Your tasks include:

• Conception and development ofAI 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 integrating APIs, company data and Backend services

• Building scalableAI microservices, APIs as well as vector search, embedding and retrieval systems

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

• Close collaboration with product managers, Designers, AI engineers and customers to develop effective solutions Deploy AI systems in cloud and production environments using modern DevOps practices Ensuring reliability, scalability and observability through CI/CD, monitoring and containerized deployments style=";">

  Benefits

  • HYBRID WORK

  • COMPANY EVENTS

  • EXPERT NETWORK

  • CERTIFICATIONS

  • Regular and systematic (external and internal) Continuing education opportunities in the areas 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 space in downtown Munich with access to the main route

  • Public transport ticket with Deutschlandticket

  • Participation in your sporting activities via theEGYM Wellpass and other benefits of the Reply Group

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

  
  
  

  Requirements

  • Completed degree in computer science, software engineering, data science or a comparable technical field

  • Programming knowledge in Python and modern backend frameworks as well as experience with AI, machine learning and generative AI applications

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

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

  • Points of contact withrelevant frameworks(e.g. LangChain, LlamaIndex, Hugging Face)

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

  • Very good knowledge of German and English for workshops and communication

  Example projects you could work on

  • Enterprise AI Knowledge Assistants

  • AI Copilots for internal business tools

  • Semantic Search platforms for company data

  • Document intelligence systems based on LLMs

  • AI agents and automation systems for enterprise workflows

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