Full Stack Developer

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.