Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

We are seeking an AI Application Engineer to build AI-powered solutions and intelligent product features using modern machine learning and generative AI technologies. This role focuses on creating user-facing AI applications and scalable products, working at the intersection of AI engineering, backend development, product development, and cloud deployment to deliver production-ready AI systems with real 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
APIs
Microservices
Containerization
DevOps
Docker
CI/CD pipelines
Kubernetes
LangChain
LlamaIndex
HuggingFace
AI observability
Monitoring
LLM systems evaluation

Location

Munich
EU-wide workation options
Client on-site visits

Work Type

Flexible work arrangement
Home office
On-site office work
Client on-site visits

Experience Level

Experience building applications using AI, machine learning or generative AI technologies
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

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.