Senior Python GenAI Engineer (ID: 3854)

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Senior Python GenAI Engineer (ID: 3854)

STAFIDE

Location

Amsterdam, Netherlands

Experience

Senior

Posted

Jul 14, 2026

Apply by

August 13, 2026

Applicants

0

Early applicantEasy applyFull-timeWork from Office

Job Description

As a Senior Python GenAI Engineer, you will: - Design and develop Generative AI solutions leveraging Large Language Models (LLMs). - Build scalable AI-powered applications using Python, FastAPI, and Azure services. - Develop and maintain RAG (Retrieval-Augmented Generation) architectures. - Integrate LLMs with enterprise applications, APIs, databases, and knowledge repositories. - Engineer prompt frameworks and optimize model performance for business use cases. - Deploy, monitor, and manage AI workloads on Azure cloud platforms. - Collaborate with Data Scientists, AI Engineers, Product Teams, and Solution Architects. - Evaluate emerging AI technologies and recommend innovative solutions. What You Bring to the Table: - 7–10 years of software engineering experience with at least 3+ years in AI/ML or Generative AI solutions. - Strong proficiency in Python and backend development. - Hands-on experience with FastAPI and API-driven architectures. - Experience working with Large Language Models (OpenAI, Azure OpenAI, Llama, Claude, Mistral, or similar). - Knowledge of RAG frameworks, vector databases, embeddings, and semantic search. - Experience with LangChain, LlamaIndex, Semantic Kernel, or similar AI orchestration frameworks. - Strong expertise in Microsoft Azure services including Azure OpenAI, Azure AI Services, Azure Functions, Azure Storage, Azure Kubernetes Service (AKS), and Azure DevOps. - Experience with Docker, Kubernetes, CI/CD, and cloud-native application development. - Understanding of AI governance, model evaluation, and responsible AI principles. You Should Possess the Ability to: - Architect end-to-end Generative AI solutions from concept to production. - Build highly scalable, secure, and performant AI applications. - Optimize prompts, embeddings, and model outputs for business value. - Work with structured and unstructured enterprise data sources. - Troubleshoot AI, application, and cloud infrastructure challenges. - Communicate complex AI concepts effectively to technical and business stakeholders. - Drive innovation while maintaining production-grade engineering standards. What We Bring to the Table: - Opportunity to work on cutting-edge Generative AI and LLM initiatives. - Access to modern cloud, AI, and data engineering technologies. - Challenging projects with enterprise-scale impact. - Collaborative environment focused on innovation and knowledge sharing. - Continuous learning, certifications, and professional growth opportunities. - Flexible work culture with strong emphasis on technical excellence and career progression. Let’s Connect Want to discuss this opportunity in more detail? Feel free to reach out. Recruiter: Giftson Paul Davidson Phone: +31 20 369 0609 ; Extn : 151 E-mail: giftson.p@stafide.nl LinkedIn: https://www.linkedin.com/in/giftsonpauldavidson/

Key Responsibilities

  • Design and develop Generative AI solutions leveraging Large Language Models (LLMs).
  • Build scalable AI-powered applications using Python, FastAPI, and Azure services.
  • Develop and maintain RAG (Retrieval-Augmented Generation) architectures.
  • Integrate LLMs with enterprise applications, APIs, databases, and knowledge repositories.
  • Engineer prompt frameworks and optimize model performance for business use cases.
  • Deploy, monitor, and manage AI workloads on Azure cloud platforms.
  • Collaborate with Data Scientists, AI Engineers, Product Teams, and Solution Architects.
  • Evaluate emerging AI technologies and recommend innovative solutions.

Skills Required

PythonFastAPIAzureLarge Language ModelsRAGVector DatabasesEmbeddingsSemantic SearchLangChainLlamaIndexSemantic KernelAzure OpenAIAzure AI ServicesAzure FunctionsAzure StorageAzure Kubernetes ServiceAzure DevOpsDockerKubernetesCI/CDCloud-native application developmentCommunicationProblem solvingCollaborationInnovation

Benefits

  • Opportunity to work on cutting-edge Generative AI and LLM initiatives
  • Access to modern cloud, AI, and data engineering technologies
  • Collaborative environment focused on innovation and knowledge sharing
  • Continuous learning, certifications, and professional growth opportunities
  • Flexible work culture with strong emphasis on technical excellence and career progression

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