As a Senior Generative AI Engineer, you will: - Design, develop, and deploy enterprise-grade Generative AI solutions using modern AI frameworks and cloud technologies - Build intelligent AI applications using Python with a focus on scalability, performance, and maintainability - Develop and integrate AI solutions using Azure OpenAI Services, including GPT models, prompt engineering, embedding, and fine-tuning strategies - Design and implement multi-agent AI workflows using Semantic Kernel and LangGraph - Integrate enterprise applications, APIs, and external tools using Model Context Protocol (MCP) or similar integration frameworks - Build context-aware AI agents with memory management and autonomous decision-making capabilities - Develop Retrieval-Augmented Generation (RAG) solutions using vector databases to enhance AI accuracy and knowledge retrieval - Optimize Large Language Model (LLM) applications for performance, latency, scalability, and cost efficiency - Collaborate with solution architects, product owners, and business stakeholders to translate business requirements into innovative AI solutions - Ensure security, governance, compliance, and Responsible AI principles are embedded throughout the AI solution lifecycle - Participate in Agile development processes, code reviews, testing, and continuous improvement initiatives What You Bring to the Table: - 6–8 years of professional experience in AI Engineering, Machine Learning, or Software Development - Strong programming expertise in Python for developing enterprise-scale AI applications - Hands-on experience with Azure OpenAI Services, including GPT models, embeddings, APIs, prompt engineering, and fine-tuning - Proven experience with Semantic Kernel and LangGraph for AI orchestration and multi-agent workflows - Strong understanding of Generative AI, Agentic AI, and Large Language Model (LLM) architectures - Experience implementing Retrieval-Augmented Generation (RAG) solutions - Experience working with vector databases such as Azure AI Search, Pinecone, or similar platforms - Familiarity with Model Context Protocol (MCP) or equivalent AI integration patterns - Experience developing REST APIs, microservices, and cloud-native applications within the Microsoft Azure ecosystem - Knowledge of CI/CD pipelines, DevOps practices, Docker, and Kubernetes - Experience evaluating, monitoring, and optimizing LLM-based applications - Understanding of Responsible AI, AI governance, and security best practices - Strong analytical, problem-solving, and communication skills with the ability to collaborate across cross-functional teams You Should Possess the Ability To: - Design and build scalable, enterprise-ready Generative AI applications - Develop intelligent multi-agent systems using modern AI orchestration frameworks - Deliver secure, reliable, and high-performing AI solutions using Azure OpenAI technologies - Translate business challenges into practical AI-driven solutions - Optimize AI applications for scalability, cost efficiency, and user experience - Collaborate effectively with architects, developers, product teams, and business stakeholders in Agile environments - Drive innovation while maintaining Responsible AI, governance, and security standards What We Bring to the Table: - Opportunity to work on enterprise-scale Generative AI and Azure OpenAI initiatives - Exposure to cutting-edge AI technologies, Agentic AI, LLMs, and cloud-native platforms - Collaborative environment with experienced architects, AI engineers, and product teams - Opportunity to contribute to innovative digital transformation projects for a leading retail client Let’s Connect Want to discuss this opportunity in more detail? Feel free to reach out. Recruiter: Asha Krishnan Phone: +31 20 369 0609 ; Extn :146 Email: asha.k@stafide.nl LinkedIn: https://www.linkedin.com/in/asha-krishnan