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

Reply S.p.A.; Berlin; On-site; EUR 60,000 - 80,000; Full time

Benefits offered by this job

Mobility package

Gym subsidy & WellPass

Insurance & Pension Scheme

Paid training and conferences

Flexible work arrangements

Job summary

A leading AI solutions firm is seeking an AI Application Engineer to build user-facing AI applications and scalable products. The role involves designing and developing AI solutions for enterprise clients, utilizing modern AI technologies and cloud platforms. Successful candidates will have a degree in a relevant field, strong programming skills in Python, and experience with AI systems. The position offers flexible working arrangements and collaboration across various interdisciplinary teams.

Qualifications

• Degree in a relevant technical field.
• Strong programming skills in Python and backend frameworks.
• Experience with AI, machine learning, or generative AI.

Responsibilities

• Design and develop AI applications for enterprise clients.
• Build LLM-powered applications using Retrieval-Augmented Generation.
• Deploy AI systems to cloud platforms.

Skills

Strong programming skills in Python

Experience building applications using AI technologies

Familiarity with cloud platforms (AWS, Azure, GCP)

Convincing communication in German and English

Education

Degree in Computer Science, Software Engineering or comparable field

Tools

Docker

CI/CD pipelines

Kubernetes

Job description

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

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 with a maximum of 20% travel needs

Qualifications

• Degree inComputer Science, Software Engineering, Data Science or a comparable technical field
• Convincing communication and presentation skills inGerman and English in order to participate in workshops of both languages
• Strong programming skills inPythonand modern backend frameworks
• Experience buildingapplications using AI, machine learning or generative AI technologies
• Familiarity withRetrieval-Augmented Generation (RAG)and vector databases
• Familiarity withcloud 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 developingAPIs, microservices and scalable backend systems, including vector databases
• Experience withcontainerization and DevOps practices (Docker, CI/CD pipelines, Kubernetes or similar)
• Experience with frameworks such asLangChain, LlamaIndex or HuggingFace
• Experience deployingAI services in cloud environments
• Knowledge ofAI observability, monitoring, and evaluation of LLM systems

Example projects you may work on

• EnterpriseAI knowledge assistants
• AI copilotsfor internal business tools
• Semantic search platformsfor enterprise data
• Document intelligence systemspowered by LLMs
• AI agents and automation systemsfor enterprise workflows