TTT - GenAI - Staff at EY

, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

28 Aug, 26

Salary

0.0

Posted On

30 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

.NET C#, REST API, React, Azure Services, Docker, Azure Kubernetes Services, CI/CD, Azure OpenAI, Semantic Kernel, Vector Databases, LLMs, RAG, Prompt Engineering, Neo4j, M365 Copilot Studio, SQL Databases

Industry

Professional Services

Description

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Job title Agentic AI – Application Developer (.NET) - Staff The opportunity We’re looking for Staff with expertise in full-stack application development using .NET, C# for Agentic AI applications to join the TTT team in the Tax Service Line. This is a fantastic opportunity to be part of a pioneering firm while playing an instrumental role in the growth of Agentic AI transformation Your key responsibilities Design, develop, and implement AI agents/plugins/interfaces and APIs, ensuring integration with various systems aligns with the core product/ platform development strategy. Maintain effective communication within the team and with stakeholders, proactively managing expectations and collaborating on problem-solving. Contribute to the refinement of development/engineering methodologies and standards, anticipating potential issues and leading the resolution process. Skills and attributes for success Must-Have: Skilled in full-stack application development with .NET C#, REST Api, React or any other typescript based UI frameworks, SQL databases Working knowledge of Azure services such as Azure app services, Azure Functions, Azure Foundry Services etc. Understanding of Containerisation – Docker, Azure container apps, Azure Kubernetes Services (AKS) Working experience with source control such as git or TFVC CI/CD pipelines, Azure DevOps, GitHub Actions etc. Working experience with AI Coding platforms such as GitHub copilot, Cursor, Claude or similar Generative AI application development with Azure OpenAI, Microsoft Agent Framework/ Semantic Kernel, MCP, Vector databases like Azure AI search, Postgres, etc. Fundamental understanding of various types of Large Language Models (LLMs) Fundamental understanding of Retrieval Augment Generation (RAG) techniques Fundamental understanding of classical AI/ML Skilled in Advanced prompt engineering Nice-to-Have: Awareness about various AI Agents/ Agentic workflow frameworks and SDKs Graph Database such as Neo4j Experience with M365 Copilot Studio Microsoft Azure AI-900/ AI-102 Certification Behavioural Skills: Excellent learning ability. Strong communication skill. Flexibility to work both independently and as part of a larger team. Strong analytical skills and attention to detail. The ability to adapt your work style to work with both internal and client team members. To qualify for the role, you must have Bachelor’s / master’s degree in software engineering / information technology / BE/ B.TECH An overall 3 – 5 years of experience. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

Design and implement AI agents, plugins, and APIs using .NET and C# to support Agentic AI transformation. Collaborate with stakeholders to refine engineering methodologies and ensure integration aligns with platform strategy.