Lead Full Stack GenAI Developer

Our client is building an AI Centre of Excellence focused on delivering enterprise-scale AI solutions that transform business operations. They are seeking a

Lead Full Stack GenAI Developer

who is passionate about building production-ready Generative AI applications from architecture through deployment. This is a highly technical, hands‑on engineering role. The successful candidate will take solution designs and build scalable, secure, enterprise‑grade AI applications that solve real business problems. You’ll work closely with architects, business stakeholders, and cross‑functional teams to deliver end‑to‑end AI solutions that can be reused across the organization. Key Responsibilities

Design, develop, and deploy enterprise‑grade Generative AI applications using the Microsoft Azure AI ecosystem. Build scalable, reusable backend services and APIs using Python and object‑oriented programming principles. Develop modern, responsive frontend applications using React and TypeScript. Design and implement Retrieval‑Augmented Generation (RAG) solutions, AI agents, and multi‑agent systems. Integrate AI solutions with enterprise platforms, databases, and business applications. Work directly with business stakeholders to gather requirements and translate them into production‑ready software. Develop modular, reusable components that can be leveraged across multiple AI initiatives. Implement GenAIOps practices including CI/CD pipelines, monitoring, evaluation frameworks, and operational governance. Ensure solutions meet enterprise standards for scalability, security, reliability, and maintainability. Collaborate with architects and technical leaders to evolve reusable AI platform capabilities. Required Technical Skills

Programming & Full Stack Development

Strong Object‑Oriented Programming (OOP) principles React TypeScript REST API development and enterprise integrations Databricks Production deployment of Large Language Model (LLM) applications Retrieval‑Augmented Generation (RAG) Agentic AI solutions Prompt engineering and orchestration DevOps & Operations

GenAIOps Monitoring and observability AI evaluation frameworks Performance optimization Production support What You’ll Build

Successful candidates will have experience delivering production AI solutions such as: AI‑powered document extraction and classification Retrieval‑Augmented Generation (RAG) applications Enterprise Q&A chatbots Agentic AI solutions Multi‑agent AI systems Enterprise search platforms Policy and knowledge search solutions Decision support applications Document and data validation solutions HR and business process automation AI solutions leveraging both structured and unstructured data About the Opportunity

Our client is building an AI Centre of Excellence focused on delivering enterprise‑scale AI solutions that transform business operations. They are seeking a

Lead Full Stack GenAI Developer

who is passionate about building production‑ready Generative AI applications from architecture through deployment. This is a highly technical, hands‑on engineering role. The successful candidate will take solution designs and build scalable, secure, enterprise‑grade AI applications that solve real business problems. You’ll work closely with architects, business stakeholders, and cross‑functional teams to deliver end‑to‑end AI solutions that can be reused across the organization. Key Responsibilities

Design, develop, and deploy enterprise‑grade Generative AI applications using the Microsoft Azure AI ecosystem. Build scalable, reusable backend services and APIs using Python and object‑oriented programming principles. Develop modern, responsive frontend applications using React and TypeScript. Design and implement Retrieval‑Augmented Generation (RAG) solutions, AI agents, and multi‑agent systems. Integrate AI solutions with enterprise platforms, databases, and business applications. Work directly with business stakeholders to gather requirements and translate them into production‑ready software. Develop modular, reusable components that can be leveraged across multiple AI initiatives. Implement GenAIOps practices including CI/CD pipelines, monitoring, evaluation frameworks, and operational governance. Ensure solutions meet enterprise standards for scalability, security, reliability, and maintainability. Collaborate with architects and technical leaders to evolve reusable AI platform capabilities. Required Technical Skills

Programming & Full Stack Development

Expert‑level Python development Strong Object‑Oriented Programming (OOP) principles React TypeScript REST API development and enterprise integrations Microsoft Azure AI Ecosystem

Azure AI Foundry Azure OpenAI Azure AI Search Azure Document Intelligence Azure SQL Azure Cosmos DB Azure Data Lake Storage (ADLS) Databricks AI Engineering

Production deployment of Large Language Model (LLM) applications Retrieval‑Augmented Generation (RAG) Agentic AI solutions Multi‑agent architectures Prompt engineering and orchestration Enterprise search Intelligent document processing DevOps & Operations

GenAIOps AI CI/CD pipelines Monitoring and observability AI evaluation frameworks Performance optimization Production support What You’ll Build

Successful candidates will have experience delivering production AI solutions such as: Intelligent Document Processing (IDP) AI‑powered document extraction and classification Enterprise knowledge assistants Retrieval‑Augmented Generation (RAG) applications Enterprise Q&A chatbots Agentic AI solutions Multi‑agent AI systems Enterprise search platforms Policy and knowledge search solutions Decision support applications Document and data validation solutions HR and business process automation AI solutions leveraging both structured and unstructured data Disclaimer: AI may be used in evaluating candidates. This posting is for an existing vacancy. #J-18808-Ljbffr