AI Integration Engineer

TalentOla; Charlotte (NC); On-site; USD 140,000 - 190,000; Full time

Job summary

TalentOla is seeking an AI Integration Engineer to join our team in Charlotte, NC and Concord, CA. The ideal candidate will design and implement governed model routing, enable agent-to-agent connectivity, and build SDK migration utilities to support scalable production deployments.

Required skills include Python or Java, REST APIs, SDK design, MCP interoperability, and a strong foundation in CI/CD, automation, and cloud-native practices.

Qualifications

• 8+ years experience in AI integration engineering or related field.
• Proficient in Python or Java and REST APIs.
• Experience with MCP interoperability and agent-to-agent connectivity.
• Strong in SDK design, integration architecture, and CI/CD practices.
• Ability to implement automated testing, observability, and cloud-native engineering.

Responsibilities

• Build governed model routing and MCP connectivity for production adoption.
• Develop reusable integrations and SDK migration utilities.
• Implement automated controls for production readiness and governance.

Skills

Python/Java

REST APIs

SDK Design

MCP Interoperability

Integration Architecture

CI/CD

Automated Testing

Authn/Authz

Observability

Cloud-Native

Job description

Position: AI Integration Engineer
Location: Charlotte, North Carolina and Concord, California
Experience: 8+ Years

Role Overview:
The selected candidate will be responsible for building governed model routing, agent-to-agent and MCP connectivity, SDK migration utilities, reusable integrations, and automated controls to support production adoption.

Required Skills:

• Python or Java
• REST APIs
• SDK Design
• MCP and Agent Interoperability
• Integration Architecture
• CI/CD
• Automated Testing
• Authentication & Authorization
• Observability
• Cloud-Native Engineering