Dot Net and Angular Engineer (AI Engineer)

Role & responsibilities

• Design, develop, and maintain scalable applications using C#, .NET Core, Angular/React, and Microservices.
• Develop and consume RESTful APIs and integrate with enterprise applications and third-party platforms.
• Write clean, maintainable, and reusable code following established coding standards and design patterns.
• Optimize application performance, database queries, and overall system scalability.
• Build and enhance AI-powered solutions using Copilot, Claude, and LLM-based technologies.
• Implement and support RAG (Retrieval-Augmented Generation) and context-aware AI workflows.
• Develop agent integrations, tool bindings, and AI-driven automation capabilities.
• Troubleshoot application, AI workflow, and agent execution issues to ensure reliable system performance.
• Create and execute unit tests, integration tests, and UI automation tests using Playwright.
• Contribute to CI/CD pipelines, release automation, and cloud deployment activities.
• Participate in architecture discussions, design reviews, and technical solutioning sessions.
• Perform peer code reviews and ensure adherence to quality, security, and performance standards.
• Collaborate with Product Managers, Architects, QA teams, and cross-functional stakeholders.
• Participate in Agile ceremonies including sprint planning, backlog refinement, and retrospectives.
• Mentor junior engineers and support knowledge-sharing initiatives within the team.
• Stay current with emerging technologies, AI frameworks, and modern software engineering practices.

Preferred candidate profile

• 4-9 years of experience in C#/.NET Core and Angular/React
• Experience building microservices, REST APIs, and enterprise-scale applications
• Strong database expertise in SQL Server/Azure SQL, with exposure to Cosmos DB being a plus
• Hands-on experience with Azure DevOps/GitHub Actions, CI/CD pipelines, and automated testing
• Experience using GitHub Copilot, Claude, OpenAI, Azure AI, LangChain, LangGraph, CrewAI, Semantic Kernel, or RAG-based solutions
• Exposure to AI Agents, workflow orchestration, and enterprise integrations
• Playwright automation experience
• Ability to mentor junior engineers and own feature delivery end-to-end