Senior AI Software Engineer to join our Operations Engineering team. This role is ideal for experienced C#/.NET Software Engineers who are passionate about building intelligent enterprise applications using modern AI technologies.

This is a software engineering-first role, where approximately 70% of your work focuses on designing and developing scalable enterprise applications using C#/.NET and ASP.NET Core , while 30% involves integrating AI capabilities using Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and agentic frameworks. You'll help build AI-powered operational platforms that automate complex workflows, intelligently route work, validate operational instructions, and enable AI agents to interact seamlessly with enterprise systems.

You'll also help drive modern engineering practices using Azure DevOps and contribute to the evolution of Epiqs AI-enabled operational ecosystem.

Key Responsibilities

- Design, develop, and maintain scalable enterprise applications using C#/.NET and ASP.NET Core .
- Build RESTful APIs, backend services, and microservices that power AI-enabled applications.
- Develop clean, maintainable, and production-ready software following engineering best practices.
- Collaborate with architects, product owners, and cross-functional engineering teams to deliver high-quality solutions.
- Engineer reusable components with a solid focus on scalability, reliability, performance, and security.
- Integrate internal and third-party platforms into Epiqs operational ecosystem.
- Utilize Azure DevOps for agile delivery, source control, CI/CD, and work management.

AI Application Development

- Build AI-powered features using Python and modern LLM technologies.




- Develop intelligent agents that automate operational workflows and business processes.
- Design and implement Retrieval-Augmented Generation (RAG) solutions.
- Build and integrate Model Context Protocol (MCP) services and tools.
- Develop multi-agent workflows using modern agentic frameworks.
- Integrate enterprise applications with LLM services through APIs.
- Apply prompt engineering and AI evaluation techniques to improve solution quality.
- Modernize existing operational automations using AI-enabled architectures.

Required Qualifications

- 5+ years of professional software development experience.
- Strong hands-on experience developing enterprise applications using C#/.NET and ASP.NET Core .
- Proficiency in designing REST APIs and microservices.
- Experience with SQL Server or other relational databases.
- Strong understanding of object-oriented programming, software design patterns, and scalable system design.
- Experience with Git, Azure DevOps, CI/CD pipelines, and Docker.

AI Experience

Practical experience building AI-enabled applications using:

- Python
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Vector databases and embeddings
- Prompt engineering
- AI API integrations (OpenAI, Azure OpenAI, Anthropic, Gemini)

Experience with one or more of the following is preferred:

- Semantic Kernel
- LangGraph
- CrewAI
- AutoGen
- OpenAI Agents SDK

Working knowledge of





- Model Context Protocol (MCP)
- Agent orchestration
- Tool calling
- AI workflow automation

Preferred Qualifications

- Experience with Microsoft Azure and Azure AI services.
- Azure OpenAI or Azure AI Foundry.
- Kubernetes and containerized deployments.
- Event-driven or distributed architectures.
- Enterprise workflow automation.
- Experience integrating AI capabilities into existing enterprise software products.

What Were Looking For

Were looking for engineers who think like software developers first and AI practitioners second .

The ideal candidate has a strong foundation in enterprise software development using C#/.NET and is excited about applying AI technologies to solve real business problems. Rather than building or training machine learning models, youll focus on integrating modern AI capabilities into production software to automate workflows, improve operational efficiency, and deliver intelligent user experiences.

If you enjoy building scalable enterprise software while shaping the future of AI-powered applications, wed love to hear from you.

Your specific salary will be determined based on several factors:

- Location-based market rate for the role
- Your abilities in relation to the job specification
- Performance during screening and interview
- Pay parity with the wider team in the considered location

Further details about the package will be provided during the initial screening call with the Talent Acquisition Team.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior AI Software Engineer (.NET + AI) (Hyderabad)
🏢 Epiq Systems
📍 Hyderabad