Brigge AI
Integration Engineer
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Company Description
Brigge AI is an AI-native enterprise orchestration platform that helps global organizations connect, automate, and scale across complex technology ecosystems. Built from the ground up on large language models, Brigge enables teams to design, manage, and optimize integrations and workflows using natural language instead of traditional coding-heavy approaches. The platform reduces integration timelines from weeks to minutes by allowing AI to architect workflows, diagnose issues, explain failures, and continuously improve performance. Brigge offers a unified orchestration layer that connects ERP, HR, CRM, proprietary software, and custom middleware, turning disconnected systems into an intelligent, AI-accessible infrastructure. Team members join a modern, fast-growing environment focused on reimagining how enterprises leverage AI for integration and automation.
Role Description
The Integration Engineer will design, implement, and maintain integrations between customer systems and Brigge AI’s orchestration platform in a full-time, on-site role based in the Belfast Metropolitan Area. Day-to-day responsibilities include:
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- Analyzing system requirements
- Developing integration workflows and APIs
- Configuring data mappings across ERP, HR, CRM, and other enterprise applications
- Troubleshooting integration issues
- Monitoring performance
- Collaborating with product, engineering, and customer success teams to deliver reliable, scalable solutions
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The role also involves:
- Documenting technical designs
- Contributing to integration best practices
- Supporting continuous improvement of the platform’s integration capabilities
- Working closely with clients and internal stakeholders to gather requirements and ensure successful deployment and maintenance of integrations
Qualifications
- Strong Analytical Skills to interpret business requirements, assess system dependencies, and make data-driven integration decisions.
- Advanced Troubleshooting skills to identify root causes, resolve integration failures, and optimize workflow reliability.
- Software Development skills, preferably in languages such as Python, Java, or JavaScript, including experience with APIs and microservices.
- Integration expertise, including working with RESTful APIs, webhooks, data transformation, and connecting ERP, HR, CRM, and other enterprise systems.
- Systems Engineering skills to design scalable architectures, ensure security and reliability, and manage cloud-based environments.
- Relevant experience with iPaaS platforms, workflow automation tools, or AI-driven integration solutions is beneficial.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP), CI/CD practices, and modern DevOps tooling is advantageous.
- Strong communication skills, ability to collaborate with cross-functional teams, and a user-focused approach to solution design are expected.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience, is preferred.
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