Description

Design, build, and implement integrations between AI developer tools and enterprise context sources using MCP or similar frameworks
Configure and validate data flows, authentication mechanisms, and context delivery pipelines for approved AI tools
Test and troubleshoot integration issues across APIs, connectors, permissions, and configuration layers
Collaborate with stakeholders to define technical requirements, constraints, and integration strategies
Create documentation, runbooks, and configuration guidance for context integration and operational support

Basic Qualifications:
2+ years of experience in AI tool integration, platform engineering, or developer enablement roles
Strong experience with APIs, service integrations, authentication flows, and JSON-based data exchange
Working knowledge of MCP or similar context-connector and integration patterns
Proficiency in Python, JavaScript, or another scripting/programming language
Experience validating integrations, troubleshooting data flows, and documenting technical implementations
Working knowledge of Git-based workflows and standard software development practices
Strong communication skills with ability to collaborate across technical and business stakeholders

 
Degree: Bachelor’s degree in Computer Science, Engineering, Information Systems, or related technical field

Key Skills

Education

Bachelor's degree