Job Description

Key Responsibilities • Design, develop, test, deploy, and maintain scalable enterprise applications. • Develop backend applications and services using C# and .NET/.NET Core. • Build and maintain cloud-native solutions on Microsoft Azure. • Develop, configure, and support Azure Logic Apps and system integrations. • Design and implement RESTful APIs for internal and external applications. • Develop, optimize, and maintain Microsoft SQL Server databases, stored procedures, and queries. • Build and maintain CI/CD pipelines using Azure DevOps. • Collaborate with cross-functional teams to gather requirements and deliver high-quality software solutions. • Troubleshoot, debug, and optimize application performance. • Participate in code reviews and ensure adherence to software development best practices. • Evaluate, design, and integrate AI and Generative AI capabilities into enterprise applications and business workflows. • Develop AI-powered solutions using Large Language Models (LLMs), prompt engineering, and enterprise AI services. • Design and implement agentic AI workflows capable of orchestrating APIs, enterprise data sources, and business processes. • Implement Retrieval-Augmented Generation (RAG) solutions to securely ground AI responses using enterprise data. • Evaluate AI solution quality, including response accuracy, grounding, security, performance, and responsible AI considerations. • Contribute to both frontend and backend development to deliver complete end-to-end solutions. Required Skills & Experience • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline. • Proven experience in software development using: C# .NET / .NET Core Microsoft Azure Azure DevOps Azure Logic Apps REST API development Microsoft SQL Server • Hands-on experience with Large Language Models (LLMs), Generative AI, and prompt engineering. • Experience building or integrating AI/LLM capabilities into applications or enterprise workflows. • Understanding of agentic AI concepts, including tool/function calling, workflow orchestration, and multi-step AI processes. • Familiarity with Retrieval-Augmented Generation (RAG), embeddings, vector search, and vector databases. • Knowledge of AI technologies and their practical application in enterprise solutions. • Strong analytical, problem-solving, and debugging skills. • Excellent communication and collaboration skills. Preferred Skills • Experience in Full Stack Development with both frontend and backend technologies. • Hands-on experience with modern frontend frameworks such as React, Angular, or Vue.js. • Strong knowledge of HTML5, CSS3, JavaScript, and TypeScript. • Experience with cloud-based application architecture and microservices. • Knowledge of Python is a strong advantage. • Experience with AI application frameworks such as LangChain, Semantic Kernel, or similar orchestration frameworks. • Experience with enterprise AI services such as Azure OpenAI Service, Azure AI Foundry, or equivalent platforms. • Experience implementing RAG solutions using vector search technologies such as Azure AI Search or similar vector databases. • Understanding of AI security and Responsible AI principles, including data privacy, prompt injection risks, access control, and AI output validation. • Exposure to evaluation, monitoring, and observability of LLM-based applications is an advantage. • Familiarity with containerization technologies such as Docker and Kubernetes is a plus. • Experience working in Agile/Scrum environments.