Key Responsibilities

Software Engineering

- 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 strong focus on scalability, reliability, performance, and security.

- Integrate internal and third-party platforms into Epiq's 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.

- Robust 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, etc.)

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.

📌 AI Engineer with .Net (India)
🏢 Appsierra Group
📍 India