AI Integration Engineer (Hybrid)
Core
Design, develop, and maintain Model Context Protocol (MCP) servers and integration components to enable AI agents to securely interact with enterprise applications, databases, and APIs.
Role type
Senior IC AI Integration Engineer
Builds
MCP servers, reusable tools, connectors, and secure integration interfaces for enterprise AI agents
Domain
Enterprise IT, Cloud Security, AI Agent Integration
Deliverable
production ML models | product features | infrastructure
Required skills
Python, Model Context Protocol (MCP), REST/SOAP APIs, SQL, Oracle Database, PeopleSoft Integration Broker, Service Authentication, Least-privilege access, Automated testing, CI/CD
Preferred skills
Oracle PL/SQL, OCI Functions, Docker, Kubernetes, OAuth/OIDC, Cloud SDKs (boto3), AI security patterns (prompt injection prevention)
Technologies
Python, MCP, Oracle, PeopleSoft, OCI, Docker, Kubernetes, Azure DevOps
Responsibilities
Develop MCP servers and tools for AI agent interaction; Build secure connectors to enterprise APIs and databases; Implement authentication, authorization, and least-privilege patterns; Develop database queries and data-access components; Troubleshoot integration issues across services and databases; Maintain integration documentation and coding standards
Seniority
Senior, hands-on IC