Join EY as an Agentic AI Application Developer in our Tax Service Line. This Staff-level role offers a unique opportunity to contribute to the pioneering growth of Agentic AI transformations within a globally connected firm.

Shape your future with confidence at EY, where we foster a supportive environment for diverse teams to thrive. We are committed to helping you achieve your career aspirations and build a better working world.

Design, develop, and implement AI agents, plugins, interfaces, and APIs. Ensure seamless integration with various systems in alignment with the core product/platform development strategy.

Maintain proactive communication with the team and stakeholders, effectively managing expectations and fostering collaborative problem-solving.

Contribute to refining development methodologies and engineering standards, anticipating potential challenges and leading their resolution.

Demonstrate expertise in full-stack application development using .NET C#, REST APIs, and UI frameworks like React or other TypeScript-based solutions. Proficiency in SQL databases is essential.

Possess working knowledge of Azure services, including App Services, Functions, and Foundry Services. Understanding containerization technologies such as Docker, Azure Container Apps, and Azure Kubernetes Services (AKS) is required.

Experience with source control systems like Git or TFVC, along with CI/CD pipelines in Azure DevOps or GitHub Actions, is necessary. Familiarity with AI coding platforms like GitHub Copilot, Cursor, or Claude is a must.

Apply your skills in Generative AI development using Azure OpenAI, Microsoft Agent Framework/Semantic Kernel, and MCP. Experience with vector databases like Azure AI Search or PostgreSQL is expected.

A fundamental understanding of Large Language Models (LLMs), Retrieval Augmented Generation (RAG) techniques, classical AI/ML concepts, and advanced prompt engineering is crucial. Familiarity with AI Agent/Agentic workflow frameworks and SDKs is advantageous.

Academic qualifications include a Bachelor's or Master's degree in Software Engineering, Information Technology, B.E., or B.Tech. A professional background of 3 to 5 years is anticipated.