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

Reply S.p.A.

Berlin

Sur place

EUR 55 000 - 80 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Mobility package
Gym subsidy
Corporate Savings Plan
Childcare Allowance
Flexible work arrangements

Résumé du poste

A global technology firm in Berlin is looking for an AI Application Engineer to design and implement AI-powered applications tailored for enterprise clients. This role involves building systems that leverage modern machine learning technologies, including Retrival-Augmented Generation. Candidates should have solid programming expertise in Python, experience in AI technologies, and be fluent in both German and English. The position offers flexible working arrangements, a supportive team, and a range of monetary benefits.

Qualifications

  • Degree in Computer Science or related technical field.
  • Strong programming skills in Python and modern backend frameworks.
  • Experience in AI, machine learning or generative AI technologies.

Responsabilités

  • Design and build AI-powered applications for enterprise clients.
  • Develop end-to-end AI products integrating LLM APIs.
  • Collaborate with product managers and designers on AI solutions.

Connaissances

Python programming
AI and machine learning technologies
Communication skills in German and English
Backend frameworks
Cloud platforms (AWS, Azure, GCP)
Retrieval-Augmented Generation (RAG)

Formation

Degree in Computer Science, Software Engineering or related field

Outils

Docker
Kubernetes

Description du poste

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
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