Senior AI Software Engineer (.NET + AI)

Location: Onsite in Hyderabad, India — Sohini Tech Park, 3rd Floor, Financial District

Company

hirify.global supports complex global legal outcomes through technology-enabled operational platforms and enterprise AI solutions.

What you will do

• Design, develop, and maintain scalable enterprise applications using C#/.NET and ASP.NET Core.
• Build RESTful APIs, backend services, and microservices for AI-enabled applications.
• Develop AI-powered features, intelligent agents, and automated workflows using Python and modern LLM technologies.
• Design and implement Retrieval-Augmented Generation solutions, MCP services, tools, and multi-agent workflows.
• Integrate internal, third-party, and enterprise platforms with LLM services through APIs.
• Use Azure DevOps for agile delivery, source control, CI/CD, and work management while contributing to modern engineering practices.

Requirements

• 5+ years of professional software development experience.
• Strong hands-on experience with C#/.NET, ASP.NET Core, object-oriented programming, design patterns, and scalable system design.
• Experience designing REST APIs, microservices, and enterprise applications.
• Experience with SQL Server or other relational databases.
• Practical experience building AI-enabled applications with Python, LLMs, RAG, vector databases, embeddings, prompt engineering, and AI API integrations.
• Experience with Git, Azure DevOps, CI/CD pipelines, and Docker.

Nice to have

• Experience with Semantic Kernel, LangGraph, CrewAI, AutoGen, or OpenAI Agents SDK.
• Working knowledge of MCP, agent orchestration, tool calling, and AI workflow automation.
• Experience with Microsoft Azure, Azure AI services, Azure OpenAI, or Azure AI Foundry.
• Experience with Kubernetes, containerized deployments, event-driven or distributed architectures, and enterprise workflow automation.

Culture & Benefits

• Values-driven environment focused on integrity, service, collaboration, and operational excellence.
• Enterprise-wide learning and internal mobility opportunities.
• Flexibility and respect for life beyond work.
• Opportunity to contribute to AI-enabled operational platforms used at scale.