AI-Powered Project Orchestration Platform
Discover how Intelvision helped a Swiss project-delivery consulting company quickly add a Senior Back-end Developer to support its AI product for project orchestration, built to keep collaboration and delivery tools aligned.
After Intelvision proposed a matching Senior Back-end Developer, he joined the project in just 3 business days. The client added experienced backend support to its existing product team extremely fast.
- Intelvision’s role: 1 Senior Back-end Developer
- Time to start: 3 business days
- Location: Switzerland
- Industry: Project Delivery
- Tech stack: Python, Django, DRF, C#, Microsoft Graph API, Jira API, Azure
About the company
The client is a Swiss consulting company that is turning its project delivery expertise into software. Its AI product connects Microsoft Teams and Jira, moderates stand-ups, and turns delivery data into progress updates, risks, action items, and planning signals.
Project Overview
The client needed senior backend support for a product initiative that combined AI-related functionality, integration-heavy workflows, and a scalable cloud foundation.
Intelvision was engaged to close 1 senior backend position and provide a specialist who could integrate quickly into the client’s existing team. Project management, overall delivery coordination, and the rest of the project team remained on the client side.
Intelvision responded through its Talent as a Service (TaaS) model, its own approach to adding senior engineers fast. After the client left a request, Intelvision introduced a suitable Senior Back-end Developer in 1 day, and in 3 days the developer was already onboarded and contributing to the product.
Challenges
Need for fast access to senior expertise
The client required a backend developer who could contribute quickly in a technically demanding environment. The product combined backend logic, Microsoft Teams-related functionality, Jira integration, and evolving product workflows, so the role called for strong seniority from day one.
Evolving product logic
As with many early product initiatives, part of the challenge was translating product vision into stable backend behaviour. The platform’s scope involved structured meeting workflows, delivery signals, and integration logic that needed thoughtful implementation.
Strong technical foundation for product growth
Because the product was being built as a product rather than a one-off internal tool, the technical base had to support reliability, extensibility, and future scale. That made backend quality and architecture especially important.
Solution
Intelvision provided a Senior Back-end Developer who joined the project within 3 business days and started contributing immediately within the client’s existing team structure. This let the client strengthen its product team with exactly the expertise it needed, without slowing development. Instead of expanding the hiring process, the client brought one experienced engineer straight into its delivery setup.
Project management, delivery coordination, and the rest of the team stayed on the client side, so the developer could focus on backend and integration work. That work covered the core of the product: Python and Django services, Microsoft Teams and Jira integrations, and an Azure-based foundation designed for reliability and future growth.
Rapid matching and onboarding. Intelvision proposed a relevant specialist the day after the website request and completed onboarding for an immediate start.
Senior backend contribution. The developer supported backend implementation across the product, including business logic, service quality, and the integration layer.
Support for product capabilities. The developer contributed to a product that moderates Microsoft Teams stand-ups, reads Jira, and generates progress, risk, and action updates.
Microsoft Teams and Jira integration support. The specialist supported backend work with the Microsoft Graph API and Jira API, connecting meetings with execution workflows.
Azure-based product foundation. The developer contributed to the platform’s Azure infrastructure, built for reliable delivery, secure operations, and future expansion.
Tech stack
Project features
- Microsoft Teams stand-up moderation support
- Jira-based delivery visibility
- Structured meeting outcomes and action capture
- Progress, risks, and dependency tracking
- Capacity vs. workload support
- AI-assisted project orchestration workflows
- Azure-based product infrastructure
