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

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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

- Solid 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.

Positive 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.

📌 AI / Generative AI Engineer – .NET / Java (Agentic AI & Azure AI) (Hyderabad)
🏢 XTGLOBAL INFOTECH
📍 Hyderabad