Full Stack SharePoint Developer

TEKsystems•Charlotte, NC

10d•$140,000 - $160,000•Remote

About The Position

This role is responsible for designing and implementing end-to-end solutions for modern collaboration platforms. We are seeking a Full Stack Software Developer with a strong understanding of SharePoint’s development framework, backend services, and API integrations. The ideal candidate has a passion for building scalable, secure, and user-centric applications, including modern AI-powered solutions that leverage large language models (LLMs), search, and data-driven intelligence.

Requirements

Sharepoint
Sharepoint online
Development
SPFx
Microsoft 365
rest api
power platform
integration
azure services
Javascript

Responsibilities

Full Stack Solution Development: Design, develop, and implement end-to-end SharePoint-base and web solutions, including front-end components, backend services, APIs, and workflows tailored to client needs.
Front-End Development: Build modern, responsive user interfaces using SPFx, React, TypeScript, and other modern web technologies to enhance user experience across SharePoint and Microsoft 365 platforms.
Back-End Development: Develop and maintain backend services, APIs, and data access layers using Azure services and RESTful architectures to support scalable and secure applications.
Integration Expertise: Build and manage seamless integrations between, SharePoint, Microsoft Teams, Microsoft Graph, and external platforms such as financial systems, directories, legal systems, and other third-party data sources.
AI & Intelligent Solution Development: Design, build, and integrate AI-powered features into products, including conversational assistants, intelligent search, summarization, and data-driven insights.
Develop solutions leveraging large language models (LLMs) and AI services (e.g., Azure OpenAI, embeddings, vector search) to enhance user workflows and decision-making.
Implement Retrieval-Augmented Generation (RAG) patterns by combining structured data, documents, and search indexes with LLMs.
Collaborate with architects and product leaders to translate AI use cases into secure, scalable production solutions.
Ensure responsible AI practices, including security, privacy, data access controls, and performance monitoring.
Design and implement solutions to aggregate, transform, and present data from multiple sources (e.g., financial, directory, and client/matter systems) using Azure SQL, Azure Data Factory, and other data services.
Optimize performance across the full stack, troubleshoot complex technical issues, and ensure reliable, secure operation of all solutions and integrations.