AI Platform Integration Engineer

Responsibilities

• Integrate enterprise platform services with an existing AI Gateway and maintain secure integration interfaces.
• Deploy, host, configure, monitor, and operate Model Context Protocol servers.
• Configure AI service connectivity, model routing, API integrations, rate limiting, quotas, and usage restrictions.
• Integrate AI usage tracking, token consumption monitoring, cost metering, reporting, and internal cost allocation capabilities.
• Integrate content-control and AI guardrail services into gateway workflows.
• Troubleshoot connectivity, authorization, configuration, service-access, and platform-integration issues.
• Coordinate technical requirements, interfaces, schedules, dependencies, and issue resolution across engineering teams.
• Document integrations, MCP configurations, operational procedures, troubleshooting processes, and platform enhancements.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline, or equivalent professional experience.
• At least 3 years of hands-on professional experience in software engineering, cloud engineering, or platform engineering.
• Working knowledge of AI/LLM gateway concepts, model routing, token-based usage tracking, rate limiting, and content guardrails.
• Hands-on experience deploying or hosting MCP servers or comparable tool and API integrations for AI applications or agents.
• Hands-on experience with AWS cloud services, including Amazon Bedrock or Amazon SageMaker.
• Experience with API gateways and REST APIs, cloud application integration, service connectivity, and API security.
• Strong troubleshooting, technical problem-solving, written communication, verbal communication, and cross-team coordination skills.
• Ability to work independently and manage technical deliverables in a part-time capacity.
• Preferred experience with developing or customizing MCP servers, LiteLLM, Kong AI Gateway, AI usage metering, token tracking, chargeback reporting, FinOps, Amazon Bedrock Guardrails, AI gateway policies, AI agent architectures, enterprise application and data-platform integrations, cloud-native platforms, and enterprise AI security, access management, and governance.
• U.S. citizenship is required, and new hires must pass drug tests required by the client's contract.

Benefits

• Fully remote work arrangement.
• Part-time schedule of approximately 20 hours per week.
• Annual salary range of $100k-$120k for part-time work.