Job SummaryThis role is responsible for designing and implementing end-to-end solutions for modern collaboration platforms, with a primary focus on backend architecture, React-based front-end development, and AI-powered features. We are seeking a Full Stack Software Developer with deep expertise in backend services, API design, React/TypeScript, and applied AI-along with a strong understanding of SharePoint's development framework. The ideal candidate has a passion for building scalable, secure, and user-centric applications and is experienced in developing AI-powered solutions that leverage large language models (LLMs), AI agent frameworks, retrieval-augmented generation (RAG), and data-driven intelligence.
Are you proactive, detail-oriented, and driven by delivering impactful solutions across the entire application stack? Do you bring both technical depth and creative problem-solving to every project? If so, we'd love to hear from you!
Responsibilities- Full Stack Solution Development: Design, develop, and implement end-to-end SharePoint-based and web solutions, including front-end components, backend services, APIs, and workflows tailored to client needs.
- Back-End Development: Design, develop, and own backend services, REST APIs, microservices, and data access layers using C#/.NET, Node.js, Azure Functions, and Azure App Services. Architect scalable, secure, and high-performance backend systems including database design, caching strategies, message queues, and background job processing.
- Front-End Development: Architect and build modern, responsive user interfaces using React, ReactJS, NextJS, TypeScript, and SPFx, including reusable component libraries, state management patterns, and performance-optimized rendering to deliver exceptional user experiences.
- AI & Intelligent Solution Development: Design, build, and integrate AI-powered features into Infodash 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.
- Build and maintain AI agent workflows, prompt engineering pipelines, and evaluation frameworks to continuously improve AI feature quality and reliability.
- Design and implement backend infrastructure for AI features, including API orchestration layers, token management, streaming responses, and cost optimization strategies.
- Integration Expertise: Build and manage seamless integrations between Infodash, SharePoint, Microsoft Teams, Microsoft Graph, and external platforms such as financial systems, directories, legal systems, and other third-party data sources.
- Data Management & Processing: 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.
- Platform Optimization & Reliability: Optimize performance across the full stack, troubleshoot complex technical issues, and ensure reliable, secure operation of all solutions and integrations.
- Cloud & DevOps Practices: Support application deployment, configuration, and monitoring using Azure-based tools and services, with an emphasis on scalability, security, and maintainability.
- Collaboration: Work closely with project teams, architects, and client stakeholders to translate business requirements into technical solutions aligned with organizational goals.
- Code Quality & Standards: Maintain high standards of code quality, documentation, testing, and version control
Qualifications- Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent professional experience).
- 5+ years of experience in SharePoint and web application development, including both front-end and back-end solutions.
- Strong proficiency in React (including hooks, context, and component architecture), TypeScript, JavaScript, and ReactJS, with experience building complex, production-grade front-end applications.
- Demonstrated experience designing and developing backend services, REST APIs, microservices, and integrations using C#/.NET, Node.js, Azure, and Microsoft 365 technologies.
- Solid understanding of SharePoint Online and on-premises architecture, customization, and development.
- Experience with Microsoft Power Platform, including Power Automate and Power Apps.
- Strong knowledge of REST APIs, Microsoft Graph, authentication/authorization, and secure integration patterns.
- Experience with Azure services such as Azure App Services, Azure Functions, Azure Cognitive Search, Azure SQL, Azure Data Factory, and cloud-based application deployment.
- Hands-on experience with AI/ML technologies, including LLM integration (e.g., Azure OpenAI, GPT-4), prompt engineering, RAG architectures, vector databases, and embedding models. Familiarity with AI agent frameworks is a strong plus.
- Ability to write clean, efficient, scalable, and maintainable code across the full stack.
- Strong problem-solving skills and attention to detail, with a focus on delivering user-centric and business-driven solutions.
- Excellent communication and teamwork skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.
- Microsoft certifications in SharePoint, Azure, or related technologies are highly desirable.
- Experience in the legal sector or professional services is a plus, particularly working with client, matter, financial, and document management systems.
- Familiarity with integrating and managing data from legal and enterprise systems, including financial, directory, and document management platforms.
