Full Stack Developer - Python/React.js

Finapsys Consultancy Services Pvt. Ltd.

Multiple Locations

5 - 8 Years

2+ Reviews

Python C#Azure Javascript React.js AngularJS ASP .Net

Posted on: 19/11/2025

Job Description

Description :

Security & Compliance : Familiar with RBAC, audit logging, Microsoft AI security protocols, and privacy assessment processes.

Key responsibilities include designing and deploying intelligent applications using Azure AI services like Azure OpenAI Service, Azure Machine Learning, Azure Cognitive Services, and Azure AI Search.

This role also involves developing web applications using front-end and back-end technologies, integrating AI models using APIs and SDKs, including generative AI and RAG patterns.

Additionally, Fullstack Developers with Azure AI architect and deploy applications on Azure, implement CI/CD pipelines and MLOps, collaborate with various teams, and monitor application performance.

Key Responsibilities :

Design, develop, and deploy intelligent applications using Azure AI services such as :

- Azure OpenAI Service

- Azure Machine Learning

- Azure Cognitive Services

- Azure AI Search

- Build end-to-end web applications using modern front-end and back-end technologies.

- Integrate AI models using APIs and SDKs, including Generative AI, RAG (Retrieval-Augmented Generation), and other advanced AI patterns.

- Architect and deploy cloud-native applications on Microsoft Azure, ensuring scalability, performance, and reliability.

- Implement CI/CD pipelines and MLOps practices using Azure DevOps, GitHub Actions, or similar tools.

Required Skills and Qualifications :

- A Bachelor's or Master's degree in a related field is typically required.

- Necessary skills include proficiency in Python and/or C#, along with front-end languages like JavaScript, HTML, and CSS.

- Experience with front-end frameworks such as React or Angular and back-end frameworks like ASP.NET Core or Node.js is also essential.

- Hands-on experience with the Azure AI platform (Azure OpenAI, Azure AI Studio, Azure Cognitive Services) and core Azure services is a key requirement.

- Familiarity with LLM orchestration frameworks, vector databases, MLOps concepts, Docker, Kubernetes, Azure DevOps, or GitHub Actions is needed.

- Understanding database technologies like SQL Server or Cosmos DB is important.

- Strong soft skills, including problem-solving and communication, are also necessary.

Preferred Qualifications :

- Certifications like Microsoft Certified : Azure AI Engineer Associate or Microsoft Certified : Azure Developer Associate are highly valued.

- Experience with AI-assisted coding tools like GitHub Copilot can also be beneficial