Full Stack Developer – Microsoft Fabric & AI Integration
EbizON
IndiaremotePosted 1 month ago
Skill Required
Full-Stack-DeveloperBackend-EngineerMicrosoft-Fabric-DeveloperAzure-DeveloperAI-Integration-DeveloperMid-Level-Full-Stack-Developer-(Azure-AI)Mid-Level-Full-Stack-AI-Developer-(Python-Azure)AI-Full-Stack-DeveloperFull-Stack-AI-DeveloperAI-Full-Stack-EngineerFull-Stack-AI-EngineerMicrosoft-Fabric-EngineerFull Stack DeveloperAI EngineerAIsoftware engineeringdata engineeringServerlessDockerGenerative AIAzureEngineeringJavaScriptTypeScriptdevelopingPower BIdebugginganalyticsRESTbuildingAngularSparkTestNGPythondesignDevOpsOpenAPIReact.NETFulltime
Key highlights
- 3+ years Full Stack/Backend development experience.
- Hands‑on experience with Microsoft Fabric (Lakehouse, OneLake, Data Warehouse, Data Pipelines).
- Experience integrating LLMs and generative AI into enterprise applications.
- Proficiency in Python and .NET/C#.
- Experience with Azure cloud services and Azure DevOps pipelines.
- Exposure to Retrieval‑Augmented Generation (RAG) applications.
Role overview
We are looking for a Full Stack Developer with 3+ years of experience in building enterprise applications and integrations, with hands‑on exposure to Microsoft Fabric and Azure technologies. The ideal candidate should have strong backend development experience using Python, .NET/C# or similar technologies, along with experience building REST APIs, integrating enterprise systems and working with modern data platforms. Experience with Microsoft Fabric, AI/LLM applications and RAG‑based solutions will be highly preferred.
Responsibilities
- Design and develop scalable enterprise applications using Python, .NET/C# or similar backend technologies.
- Develop and integrate REST APIs and enterprise applications.
- Build integrations between applications, databases, APIs and Microsoft/Azure services.
- Develop data solutions using Microsoft Fabric, including Lakehouse, OneLake, Data Warehouse and Data Pipelines.
- Work with SQL databases and modern data architectures.
- Build and maintain ETL/ELT workflows for application and analytics use cases.
- Integrate LLMs and generative AI capabilities into enterprise applications.
- Develop or support RAG‑based applications using enterprise data sources.
- Work with Azure services for application hosting, integration, storage and data processing.
- Collaborate with product, data, AI and business teams to translate requirements into technical solutions.
- Troubleshoot application, API, integration and data‑pipeline issues.
- Follow software engineering best practices including Git, code reviews, testing and CI/CD.
Requirements
- 3+ years of Full Stack / Backend Development experience.
- Strong development experience in Python, .NET/C# or similar backend technology.
- REST API design, development and integration.
- SQL and relational database experience.
- Enterprise application and system integration.
- Hands‑on experience or strong working knowledge of Microsoft Fabric.
- Fabric Data Factory / Data Pipelines.
- OneLake / Lakehouse / Data Warehouse concepts.
- Azure cloud services.
- Git and CI/CD.
- Strong debugging and problem‑solving skills.
- Exposure to at least one of the following AI & Data areas: RAG (Retrieval‑Augmented Generation) applications, LLM/API integration, Azure OpenAI or similar AI platforms, Vector databases / embeddings, Python‑based AI application development, Microsoft Fabric data engineering, PySpark and Fabric Notebooks.
- Working knowledge of a modern front‑end framework such as React, Angular, JavaScript/TypeScript, HTML/CSS.
Nice to have
- Power BI and Fabric Semantic Models.
- Direct Lake.
- Azure Functions / App Service.
- Azure DevOps.
- Azure Data Factory or Synapse.
- Docker/containerization.
- Microsoft Fabric or Azure certifications.
- Experience developing AI‑enabled enterprise applications.
Additional details
- Primary Skills: Python/.NET, Microsoft Fabric, REST APIs, Azure, SQL.
- Secondary Skills: AI/LLM Integration, RAG, Power BI.
- The role is backend and integration heavy, so deep front‑end specialization is not mandatory.
- Ideal Candidate Profile: a Full Stack Developer who can bridge application development, data engineering and AI integration; pure front‑end developers or candidates with only theoretical Fabric knowledge are not the right fit.
- Originally posted on Himalayas.