AI Full Stack Developer

Actualize

Pune City, Maharashtra, India

Experience: 4–7 Years

Role Type: Hands-on Software & AI Engineering

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.

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