To strengthen our team, we are looking for an AI Application Engineer who enjoys building 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 building user-facing AI applications and turning AI capabilities into scalable products.

In this role, you will work at the intersection of AI engineering, backend development, product development and cloud deployment, building production-ready AI systems that create real business value.

Tasks

As an AI Application Engineer, you design and build AI-powered applications and product features for enterprise clients.

Your projects may include:

Designing and developing AI applications, such as enterprise assistants, AI copilots, semantic search platforms and intelligent automation systems

Building LLM-powered applications using Retrieval-Augmented Generation (RAG) and modern AI frameworks

Developing end-to-end AI products, integrating LLM APIs, enterprise data sources and backend services

Designing scalable AI microservices and APIs to integrate AI capabilities into enterprise platforms

Implementing vector search, embeddings pipelines and knowledge retrieval systems

Rapidly prototyping AI product features and proof-of-concepts and evolving them into production systems

Collaborating closely with product managers, designers, AI engineers and enterprise customers to develop impactful AI solutions

Deploying AI systems to cloud platforms and production environments using modern DevOps practices

Ensuring reliable, scalable and observable AI services through CI/CD pipelines, monitoring and containerized deployments

Benefits

Work in an open and collaborative environment within the global Reply network and build next-generation AI applications and intelligent digital products

Collaboration with interdisciplinary teams including AI engineers, software developers and data scientists across industries such as Banking, Insurance, Automotive and Retail

A very active social program including paid training, conferences, communities of practice, hackathons and Reply XChange

Monetary Benefits include: Mobility package, Gym subsidy & WellPass, Insurance & Pension Scheme, Corporate Savings Plan, KiTa and Childcare Allowance

Flexible work arrangement between home office, EU-wide workation options, on site office-work in our downtown Munich office with access to Stammstrecke, and client on site visits

Requirements

Degree in Computer Science, Software Engineering, Data Science or a comparable technical field

Convincing communication and presentation skills in German and English in order to participate in workshops of both languages

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

Engaging directly with enterprise clients to understand their business challenges and identify high-impact opportunities for AI-driven solutions

Nice to have

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

Example projects you may work on

Enterprise AI knowledge assistants

AI copilots for internal business tools

Semantic search platforms for enterprise data

Document intelligence systems powered by LLMs

AI agents and automation systems for enterprise workflows

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Job-Übersicht

Veröffentlicht

23. Oktober 2026

Standort

Berlin

Beschäftigungsart

Vollzeit

Arbeitsmodell

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Unternehmen

Machine Learning Reply

Munich, Bayern, Germany

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