Required skills
Distributed Systems / expert
MCP / LLM Integrations / strong
Are you passionate about building scalable AI integration platforms and defining engineering standards that impact entire organizations? We are looking for a Principal-level JavaScript/Node.js Engineer to lead the development of enterprise-wide MCP foundations and reusable platform capabilities for one of Europe’s fastest-growing FinTech products.
In this role, you will combine hands-on Back-End engineering, platform architecture, and technical leadership to help multiple product teams adopt consistent MCP integration patterns. You will work with TypeScript, Node.js, distributed systems, and modern AI orchestration approaches while shaping internal engineering standards and developer experience practices.
We at Sigma Software offer the opportunity to work on cutting-edge AI-enabled platform initiatives in a collaborative international environment where your technical decisions will directly influence large-scale engineering adoption and long-term platform strategy.
Customer
Our Customer is one of Europe’s fastest-growing FinTech companies, delivering a comprehensive financial infrastructure platform for businesses. The company provides embedded financial services, including virtual cards, bank transfers, account management, and payment operations through scalable APIs and modern financial technology solutions. Operating in a high-scale and rapidly evolving environment, the Customer places strong emphasis on engineering excellence, platform scalability, and architectural consistency.
Project
The project focuses on building the engineering foundations for enterprise-wide MCP adoption across multiple product teams. The goal is to establish shared architecture standards, reusable TypeScript/Node.js libraries, SDKs, templates, and development practices that enable teams to build scalable MCP-compatible integrations consistently.
As a Principal JavaScript/Node.js MCP Engineer, you will drive platform architecture decisions, define engineering standards, and build reusable tooling for MCP servers, agent orchestration, context management, authentication, and integration workflows. The role also includes defining architectural guidance for MCP, A2A communication, APIs, and service-to-service integrations while helping scale AI integration expertise across the organization.
Key Technologies: TypeScript, JavaScript, Node.js, AWS, MCP, LLM Integrations, APIs, Distributed Systems, SDK Development, Microservices, AI Orchestration.
