AI Full-Stack Developer

AI / Full-Stack Developer

Experience: 4–7

Years

Role Type: Hands-on Software &

AI Engineering

Primary Stack: 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

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 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

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.