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Infodash

WebsiteLinkedInAlle Stellen

11 - 50 Mitarbeiter

Gegründet 2021

☁️ SaaS

🤝 B2B

🏢 Unternehmen

SaaS • B2B • Enterprise

Infodash ist eine juristische „Legal-first“ Plattform zur vereinheitlichten Zusammenarbeit, die veraltete Intranets und Extranets für Anwaltskanzleien ersetzt. Sie kombiniert internes Wissensmanagement und externe Mandanten-Kollaboration in einer einzigen, sicheren, Microsoft 365-nativen Lösung mit integrierten Konnektoren für PMS, DMS, CRM, HRIS und Finanzsysteme. Infodash wurde für eine schnelle, IT-leichte Implementierung entwickelt, um den Wartungsaufwand zu reduzieren, die Compliance und Governance zu verbessern und Arbeitsabläufe sowie Mandanteninteraktionen zu optimieren.

Beschreibung

• 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. • 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. • 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. • 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. • 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. • 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. • Support application deployment, configuration, and monitoring using Azure-based tools and services, with an emphasis on scalability, security, and maintainability. • Work closely with project teams, architects, and client stakeholders to translate business requirements into technical solutions aligned with organizational goals. • Maintain high standards of code quality, documentation, testing, and version control.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development