AI Integration Engineer

AI Integration Engineer

Project description Build reusable connectors, APIs, orchestration services, and integration capabilities that allow AI agents to securely interact with enterprise systems.

Responsibilities

• Develop reusable APIs, connectors, MCP tools, and service contracts.
• Integrate agents with SharePoint, SAP, Databricks, SQL, and other enterprise systems.
• Implement orchestration, state management, retries, exceptions, and workflow automation.
• Apply authentication, authorization, RBAC, source restrictions, least privilege, and API governance.
• Build reusable platform utilities and maintain reliability and scalability.

Skills

• Must have

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field.

• 5+ years of enterprise integration, backend, API, or platform engineering experience.

• Strong experience with REST APIs, microservices, authentication, and cloud-native services.

• Experience integrating enterprise systems and implementing production-grade operational controls.

• Working knowledge of Azure services, DevOps practices, and secure API design.

• Nice to have

• Experience with SharePoint, SAP, Databricks, Azure SQL, and other enterprise-system integrations.

• Experience building MCP servers or agent tool interfaces.

• Experience with event-driven and long-running workflow architectures.

• Azure Developer or Integration Services certification.

• Other

• Languages

• English: B2 Upper Intermediate

• Seniority

• Senior

Location

Remote Ukraine, Ukraine

Tags Python

Description

• Project description, responsibilities, and requirements provided by Luxoft.