Custom Co-pilot Engineer-GDSN02

Your key responsibilities

• Produces high-quality solution or infrastructure deliverables in accordance with project timelines and specifications, using sound coding and programming skills
• Performs coding, debugging, testing and troubleshooting throughout the development process contributing to moderately complex aspects of a project
• Maintains and enhances systems by fixing complicated errors, raising risks and escalating issues where necessary
• Works with users to capture detailed requirements, translating designs and solution architecture into design specifications
• Monitors and reports on potential risks/opportunities of emerging technologies, and seeks areas for continuous improvement
• Ensures all activities adhere to the relevant processes, procedures, standards and technical design
• Develop and promote best practices for usage, operations and development
• Strong analytical and communication skills with intense drive to learn and adopt.

Skills and attributes:

• Design and customize robust AI solutions leveraging Azure AI Services including Azure AI Document Intelligence, Azure AI Vision, Azure AI Language, Azure AI Translator, and Azure OpenAI Service.
• Build custom AI Agents through Copilot Studio and/or Azure AI Foundry through plugin architecture, API function calling, logic apps, storage of prompts, conversation history (Azure Cosmos DB), Azure Key Vault, Container Apps, Blob Storage, Cosmos DB.
• Implement intelligent solutions using SDKs like Azure AI Foundry, AutoGen, LangChain and Semantic Kernel.
• Design multi-step prompt workflows, leverage RAG patterns to integrate LLMs with enterprise data, design intelligent agents that are task-based and/or role-based by using responsible AI principles.
• Design and implement solutions on Microsoft Azure, including Azure Functions, Azure App Service, logic Apps, Azure SQL Database, Azure Cosmos DB, and Azure Foundry.
• Fine-tune and optimize AI models by selecting the most appropriate architectures for performance and efficiency.
• Knowledge of cloud computing and Azure infrastructure.
• Craft precise and effective prompts to guide AI models and improve their outputs.
• Monitor and analyse Azure AI costs to ensure efficient resource utilization.
• Develop and integrate custom tools within AI agents to extend their capabilities.
• Demonstrate strong expertise in Azure AI Foundry and prompt engineering for building declarative and multi-modal agents.
• Integrate AI-powered features into full-stack web applications to improve user experience and efficiency.
• Collaborate with data scientists and machine learning engineers to deploy AI models into production.
• Stay up-to-date with the latest advancements in .NET Core, Azure, and AI technologies.
• Adhere to best practices for software development, including code reviews, unit testing, and continuous integration/continuous delivery (CI/CD) and MLOps.

Required Skills and Experience:

• Overall 4+ years of experience in Azure, .NET Core, Python and M365 suite of products.
• Min 2 years of experience in developing Generative AI applications using Azure OpenAI.
• Proficiency in languages like C#, Python, JavaScript, and TypeScript.
• Strong proficiency in Microsoft Azure, including Azure Functions, Azure App Service, Azure SQL Database, Azure Cosmos DB, and Azure AI Studio.
• Hands-on experience with generative AI technologies, such as OpenAI and Large Language Models (LLMs).
• Proficiency in prompt engineering and fine-tuning AI models and developing applications for RAG applications.
• Experience of front-end technologies like HTML, CSS, and JavaScript (React or Angular) for full-stack web application development.
• Understanding of CI/CD pipelines and DevOps practices.
• Strong problem-solving, analytical, and communication skills.
  • Ability to work independently and as part of a team.