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

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.