AI / Generative AI Engineer – .NET / Java (Agentic AI & Azure AI)

Location: Hyderabad, India

AI / Generative AI Engineer – .NET / Java (Agentic AI & Azure AI)
Experience: 8-9 Years
Location: Hyderabad / Visakhapatnam – Hybrid (WFO) Work Timings: Australia
Shift: 7 AM - 4 PM IST Job Summary We are looking for a hands-on AI / Generative AI Engineer with a strong background in .NET (C#) or Java backend development and practical experience integrating Generative AI capabilities into enterprise applications. The ideal candidate should have experience building AI-powered applications using LLMs, Retrieval-Augmented Generation (RAG), Agentic AI concepts, REST APIs, and Azure AI services. The candidate should be comfortable developing enterprise-grade backend services using .NET or Java and integrating them with Azure OpenAI, AI Foundry, vector databases, and other AI orchestration frameworks. This role is primarily focused on .NET / Java application development with Generative AI integration. Python-only AI/ML developer profiles are not the target for this position. Key Responsibilities

• Design, develop, and maintain enterprise backend applications using .NET (C# / ASP.NET Core) or Java (Spring Boot).
• Integrate Large Language Models (LLMs) into enterprise applications using Azure OpenAI and other LLM providers.
• Develop Generative AI applications incorporating RAG (Retrieval-Augmented Generation) architectures.
• Build AI-powered workflows and Agentic applications involving tool calling, function calling, orchestration, and multi-step reasoning.
• Work with Azure AI Foundry and Azure AI services to build and deploy AI-enabled solutions.
• Integrate LLMs with enterprise data sources using vector databases and Azure AI Search.
• Work with Azure Cosmos DB and other databases for application data and AI-related use cases.
• Develop and integrate REST APIs, microservices, and backend services to support AI-powered applications.
• Implement document processing, embedding generation, semantic search, and retrieval pipelines.
• Explore and implement AI orchestration frameworks such as Semantic Kernel, LangChain, and LangGraph.
• Integrate AI workflows with enterprise applications, automation platforms, APIs, and webhooks.
• Optimize application performance, scalability, security, and response times.
• Implement responsible AI practices, including data privacy, access controls, and governance.
• Collaborate with product, data, and engineering teams to translate business requirements into practical AI solutions. Required Skills & Qualifications Backend Development – Mandatory
• Strong hands-on experience in either .NET (C#, ASP.NET Core, Web API) or Java (Spring Boot, REST APIs) .
• Good understanding of OOP concepts, design patterns, microservices, and API development.
• Experience developing and integrating enterprise applications and backend services.
• Strong knowledge of REST APIs, authentication, authorization, and database integration. Generative AI / LLM – Mandatory
• Practical experience integrating LLMs into applications using Azure OpenAI or OpenAI APIs.
• Understanding of Generative AI concepts, prompt engineering, and LLM-based application development.
• Hands-on experience or implementation exposure to RAG architectures.
• Understanding of embeddings, vector search, semantic search, and document retrieval.
• Experience building AI-powered workflows involving tool calling, function calling, or agent-based interactions. Azure AI & Data Technologies
• Working experience with Azure AI Foundry and/or Azure OpenAI.
• Exposure to Azure AI Search or vector databases such as FAISS, Pinecone, Weaviate, or Chroma.
• Working knowledge of Azure Cosmos DB or other NoSQL databases.
• Understanding of integrating AI services with enterprise data sources. Good to Have
• Experience with Microsoft Semantic Kernel, particularly for .NET-based AI applications.
• Exposure to LangChain and LangGraph.
• Experience with multi-agent architectures and agent orchestration.
• Knowledge of Azure Machine Learning.
• Experience with LLMOps, MLOps, and AI application monitoring.
• Exposure to Docker, Kubernetes, and CI/CD pipelines.
• Experience with document intelligence, data lakes, and structured/unstructured data processing.
• Familiarity with automation platforms, webhooks, and SaaS integrations.
• Experience with production AI application deployment and performance optimization. What We Are Looking For
• Developers with a strong .NET or Java backend engineering foundation.
• Candidates who have implemented Generative AI features in enterprise applications.
• Hands-on experience with LLM integrations, RAG, and Azure AI services.
• Developers who can independently build APIs, integrate AI services, and troubleshoot application-level issues.
• Practical implementation experience rather than purely theoretical AI/ML knowledge. What We Are NOT Looking For
• Python-only developers without strong .NET or Java development experience.
• Pure Data Scientists or Machine Learning Engineers focused primarily on model training.
• Candidates with only theoretical knowledge of Generative AI and LLM concepts.
• Candidates whose experience is limited to prompt engineering or chatbot configuration without backend development.
• Candidates without hands-on enterprise application development experience.