AI Full Stack Developer

Experience: 4–7 Years

Role Type: Hands-on Software & AI Engineering

Primary Stack: Python, C#/.NET | ASP.NET Core | Next.js | TypeScript | Azure | Docker | GitHub

Position Overview

We are seeking a hands-on AI / Full-Stack Developer to design, build, test, and deploy modern cloud applications and AI-enabled capabilities on Microsoft Azure. The ideal candidate will have strong C#/.NET or Python and ASP.NET Core API experience, working knowledge of Next.js/TypeScript, and experience with Azure, containers, APIs, and modern software engineering practices. Experience with LLMs, AI agents, RAG, MCP, or enterprise AI services is highly desirable.

Key Responsibilities

Application Development

• Develop backend services using C#/.NET and ASP.NET Core Minimal APIs.
• Build and enhance frontend applications using Next.js and TypeScript.
• Develop secure REST APIs and integrations with enterprise systems.
• Write clean, modular, maintainable, and testable production code.
• Implement authentication, authorization, validation, exception handling, logging, and API security.
• Use pnpm for frontend dependency management.

AI Development

• Integrate applications with Azure OpenAI/OpenAI and Azure AI services.
• Develop AI agents, multi-step workflows, and tool/function calling.
• Implement Model Context Protocol (MCP) integrations and enterprise tools.
• Build RAG capabilities using enterprise data, embeddings, vector/hybrid search, grounding, and citations.
• Develop and maintain prompts, agent configurations, and structured AI outputs.
• Participate in AI evaluation for accuracy, groundedness, reliability, latency, and cost.

Azure, DevOps & Engineering

• Develop and deploy applications using Azure App Service and support future Azure Container Apps adoption where appropriate.
• Build and maintain applications using Docker Desktop, WSL, VS Code Dev Containers, and Windows 365 Cloud PCs.
• Use GitHub for source control and project tracking and follow GitHub Flow, pull-request, code-review, CI/CD, and tagged-release practices.
• Develop unit, API, integration, and end-to-end tests; test and troubleshoot APIs using Postman.
• Use Claude Code Enterprise responsibly for development, testing, documentation, and engineering productivity.
• Collaborate with architects, developers, QA engineers, and program teams using Microsoft Teams.

Required Qualifications

• 4–7 years of software development experience.
• Strong hands-on Python or C#/.NET and ASP.NET Core development.
• Experience developing REST APIs and enterprise integrations.
• Experience with Next.js, React, JavaScript/TypeScript, or comparable frontend technologies.
• Experience developing and deploying applications on Microsoft Azure, including Azure App Service.
• Experience with Docker and containerized application development.
• Strong Git/GitHub experience and understanding of CI/CD.
• Understanding of authentication, authorization, API security, and secure coding.
• Strong debugging, troubleshooting, and problem-solving skills.

Preferred AI Skills

• Azure OpenAI / OpenAI APIs and enterprise LLM applications.
• AI agents, agentic workflows, and tool/function calling.
• Model Context Protocol (MCP).
• Retrieval-Augmented Generation (RAG), embeddings, vector/hybrid search, and Azure AI Search.
• Prompt engineering, structured outputs, AI evaluation, and observability.
• Microsoft Foundry, Microsoft Agent Framework, Semantic Kernel, or similar technologies.

Technology Environment

Area Technology

Cloud / Hosting : Azure / Azure App Service / Azure Container Apps

Backend : Python, C# / .NET / ASP.NET Core Minimal API

Frontend : Next.js / TypeScript / pnpm

AI : Azure OpenAI / AI Agents / MCP / RAG

Containers / Development : Docker Desktop / WSL / VS Code Dev Containers / Windows 365

DevOps : GitHub / GitHub Flow / CI/CD / Tagged Releases

Tools : Claude Code Enterprise / Postman / Microsoft Teams

Ideal Candidate

The ideal candidate is a strong software engineer with emerging or established AI engineering skills who can own features end-to-end across Next.js → .NET APIs → AI Agents → Azure OpenAI → MCP/RAG → Enterprise Systems, from design and development through testing, deployment, troubleshooting, and production support.