Senior generative ai engineer

• 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, * 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

• 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