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  3. Generative AI Engineer (ID:...

Generative AI Engineer (ID: 3917)

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STAFIDE logo

Generative AI Engineer (ID: 3917)

STAFIDE

Location

Amsterdam, Netherlands

Experience

Mid

Posted

Jul 14, 2026

Apply by

August 13, 2026

Applicants

0

Early applicantEasy applyFull-timeWork from Office

Sign in to apply on web or download the app for more options.

Job Description

Als Generative AI Engineer ga je: - Enterprise-grade Generative AI-applicaties ontwerpen, ontwikkelen en implementeren met behulp van Python en Azure AI-technologieën. - Intelligente AI-oplossingen bouwen met behulp van Large Language Models (LLM's), Azure OpenAI Service en Azure AI Services. - Retrieval-Augmented Generation (RAG)-architecturen ontwikkelen met vector databases en enterprise-kennisrepositories. - Prompt engineering-strategieën ontwerpen en optimaliseren om de nauwkeurigheid, relevantie en prestaties van AI-applicaties te verbeteren. - Schaalbare REST API's en microservices ontwikkelen om AI-functionaliteiten te integreren in enterprise-applicaties en bedrijfsprocessen. - Machine Learning- en Deep Learning-modellen ontwikkelen en implementeren met Azure Machine Learning-services. - Natural Language Processing (NLP)-oplossingen implementeren voor documentverwerking, conversational AI, semantisch zoeken en intelligente automatisering. - LangChain- en LlamaIndex-frameworks integreren om LLM-workflows en kennisophaalpijplijnen te orkestreren. - Vector database-oplossingen ontwerpen en beheren met FAISS, ChromaDB, Pinecone of Weaviate. - SQL- en NoSQL-database-interacties ontwikkelen en optimaliseren ter ondersteuning van AI-applicaties en datapijplijnen. - CI/CD-pijplijnen implementeren met Azure DevOps en Git om het testen, de implementatie en het lifecyclebeheer van AI-oplossingen te automatiseren. - Samenwerken met multidisciplinaire teams om bedrijfsvereisten te vertalen naar schaalbare, veilige en productieklare AI-applicaties. - Ervoor zorgen dat AI-oplossingen voldoen aan enterprise-richtlijnen op het gebied van beveiliging, governance en Responsible AI. Wat jij meebrengt: - 4–6 jaar ervaring in Python-ontwikkeling, AI/ML-engineering of cloudgebaseerde applicatieontwikkeling. - Sterke programmeervaardigheden in Python voor het ontwikkelen van schaalbare AI-applicaties. - Praktische ervaring met Machine Learning, Deep Learning en Natural Language Processing (NLP). - Ervaring met het bouwen van Generative AI-oplossingen op basis van Large Language Models (LLM's). - Ervaring met Azure OpenAI Service, Azure AI Services en Azure Machine Learning. - Grondige kennis van Prompt Engineering-technieken en optimalisatie van LLM's. - Ervaring met het ontwerpen en implementeren van Retrieval-Augmented Generation (RAG)-oplossingen. - Praktische ervaring met LangChain en/of LlamaIndex. - Ervaring met vector databases zoals FAISS, ChromaDB, Pinecone of Weaviate. - Goede kennis van REST API's, microservices en integratie van enterprise-applicaties. - Kennis van SQL- en NoSQL-databases. - Ervaring met het implementeren van Azure DevOps CI/CD-pijplijnen en versiebeheer met Git. - Sterke analytische vaardigheden, probleemoplossend vermogen, communicatieve vaardigheden en troubleshooting-skills. - Uitstekende beheersing van de Engelse taal; kennis van het Nederlands is een pré. Je bent in staat om: - Schaalbare, veilige en productieklare Generative AI-oplossingen te ontwerpen. - Enterprise RAG-architecturen voor kennisophaling te ontwikkelen en optimaliseren. - AI-gestuurde API's en microservices te ontwikkelen met Python. - Azure AI-services te integreren in enterprise-platformen en bedrijfsapplicaties. - Vector databases te selecteren en optimaliseren voor semantisch zoeken en informatieophaling. - De prestaties van LLM's te verbeteren door middel van prompt engineering en optimalisatie van retrieval-processen. - De uitrol van AI-applicaties te automatiseren met Azure DevOps CI/CD-pijplijnen. - Effectief samen te werken met engineeringteams, architecten, product owners en business stakeholders. Wat wij bieden: - De mogelijkheid om te werken aan innovatieve Generative AI-oplossingen en enterprise AI-transformatieprojecten. - Werken met moderne Azure AI-technologieën, LLM's, cloud-native architecturen en intelligente automatisering. - Een samenwerkingsgerichte omgeving met ervaren AI-engineers, cloudarchitecten en dataprofessionals. - Uitdagende projecten op het gebied van conversational AI, kennisassistenten, intelligente zoekoplossingen en enterprise-automatisering. - Ruimte voor continue ontwikkeling, Azure AI-certificeringen en technische doorgroeimogelijkheden. - Een cultuur waarin innovatie, samenwerking en technische excellentie centraal staan. Laten we verbinden Wil je deze mogelijkheid in meer detail bespreken? Neem gerust contact op. Recruiter: Giftson Paul Davidson Telefoon: +31 20 369 0609 ; Ext.: 151 E-mail: Giftson.p@stafide.nl LinkedIn: https://www.linkedin.com/in/giftsonpauldavidson/

Key Responsibilities

  • Design and implement enterprise-grade Generative AI applications using Python and Azure AI technologies.
  • Build intelligent AI solutions using Large Language Models (LLMs), Azure OpenAI Service, and Azure AI Services.
  • Develop Retrieval-Augmented Generation (RAG) architectures with vector databases and enterprise knowledge repositories.
  • Design and optimize prompt engineering strategies to improve AI application accuracy and performance.
  • Develop scalable REST APIs and microservices to integrate AI functionalities into enterprise applications.
  • Develop and implement Machine Learning and Deep Learning models using Azure Machine Learning services.
  • Implement Natural Language Processing (NLP) solutions for document processing, conversational AI, and semantic search.
  • Integrate LangChain and LlamaIndex frameworks to orchestrate LLM workflows and knowledge retrieval pipelines.
  • Design and manage vector database solutions using FAISS, ChromaDB, Pinecone, or Weaviate.
  • Develop and optimize SQL and NoSQL database interactions to support AI applications and data pipelines.
  • Implement CI/CD pipelines with Azure DevOps and Git to automate testing, implementation, and lifecycle management.
  • Collaborate with multidisciplinary teams to translate business requirements into scalable, safe, and production-ready AI applications.
  • Ensure AI solutions comply with enterprise guidelines on security, governance, and Responsible AI.

Skills Required

PythonAzure AIAzure OpenAI ServiceAzure AI ServicesAzure Machine LearningLarge Language Models (LLMs)Prompt EngineeringRetrieval-Augmented Generation (RAG)LangChainLlamaIndexFAISSChromaDBPineconeWeaviateREST APIMicroservicesSQLNoSQLAzure DevOpsGitNatural Language Processing (NLP)Machine LearningDeep LearningAnalytical skillsProblem solvingCommunication skillsTroubleshooting skillsCollaborationDutch language

Benefits

  • Work on innovative Generative AI solutions
  • Work with modern Azure AI technologies
  • Collaborative environment with experienced engineers
  • Continuous development opportunities
  • Azure AI certifications support
  • Technical career growth opportunities

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Job Overview

Salary

—

Job Type

Full-time

Experience

Mid

Location

Amsterdam, Netherlands

Application Deadline

August 13, 2026

Total Applicants

0

About STAFIDE

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STAFIDE is a leading company in the Technology sector, known for innovation and employee-centric culture.

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