Machine Learning Reply
10 hours ago
Junior AI Application Engineer – AI Products (LLM & RAG) (m/f/d)
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Company information
- Company
- Machine Learning Reply
- Location
- Munich, Bayern, Germany Germany
- Posted
- 10 hours ago
Job description
At Machine Learning Reply, we help companies transform cutting-edge 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 translating 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-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 (including 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 WORK
COMPANY EVENTS
EXPERT NETWORK
CERTIFICATIONS
Regular and systematic (external and internal) further training 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 offices in Munich city center with access to the Stammstrecke
Public transport ticket with Deutschlandticket
Contribution to your sports activities via the EGYM Wellpass and other benefits from the Reply Group
Flexible work environment between client sites, Reply offices, 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 in 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 in 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 Could 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
Required skills
- docker
- optimization
- english
- german
- remote work
- product development
- ci/cd
- monitoring
- further training
- generative ai
- python
- aws
- kubernetes
- llm
- software engineering
- evaluation
- gcp
- azure
- vector databases
- apis
- devops
- machine learning
- certifications
- data science
- cloud environments
- microservices
- observability
- computer science
- ai agents
- automation systems
- backend services
- prototyping
- containerization
- backend systems
- munich
- flexible work environment
- rag
- ai copilots
- deployment
- office space
- clients
- hybrid work
- llamaindex
- containerized deployments
- designers
- ai products
- langchain
- ai-powered solutions
- ai engineering
- company events
- product managers
- cloud architecture
- backend development
- hugging face
- cloud deployment
- knowledge exchange
- ai applications
- production environments
- enterprise data
- semantic search
- backend frameworks
- vector search
- egym wellpass
- llm-based solutions
- deutschlandticket
- embedding
- copilots
- retrieval systems
- llm systems
- ai engineers
- generative ai applications
- machine learning applications
- open environment
- enterprise workflows
- flat environment
- llm development
- reply network
- reply group
- expert network
- ai application engineer
- enterprise assistants
- end-to-end ai products
- ai microservices
- productive systems
- retrieval technologies
- enterprise ai knowledge assistants
- document intelligence systems
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