Seeking an experienced AI Platform Integration Engineer for a fully remote, part-time role focused on integrating AI services and Model Context Protocol (MCP) capabilities into a shared enterprise platform, supporting approximately 20 hours of work per week.
Key Responsibilities:
Support integration of enterprise platform services with the AI Gateway and collaborate with engineering teams to maintain secure integration interfaces
Deploy, host, configure, and operate MCP servers, ensuring standardized interfaces for AI applications and monitoring server performance
Integrate usage tracking and cost metering for AI services, configuring reporting capabilities and establishing usage limits
Required Qualifications:
Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline, or equivalent professional experience
Minimum of 3 years of hands-on professional experience in software engineering, cloud engineering, or platform engineering
Working knowledge of AI/LLM gateway concepts, including model routing and token-based usage tracking
Hands-on experience with AWS cloud services, including Amazon Bedrock or Amazon SageMaker
Experience working with API gateways and REST APIs