AI Integrations Engineer - PT Freelance - Worldwide

Integrations Engineer (AI + Connectors)

We are seeking a highly skilled Integrations Engineer to design, build, and maintain API-based connectors that leverage AI to deliver seamless integrations. This role sits at the intersection of APIs, infrastructure, and AI tooling. The ideal candidate has an exceptional eye for detail, thrives in fast-paced environments, and enjoys solving hard problems at the cutting edge of integration and AI.

Responsibilities

• Design, implement, and maintain API integrations across REST, SOAP, GraphQL, and other protocols.
• Build and manage sandbox/test environments for robust QA and validation of integrations.
• Implement and configure MCP servers to support integration workflows.
• Collaborate with AI engineers to integrate LLMs, tool-calling pipelines, and prompt engineering strategies into connectors.
• Write clean, maintainable Python code to support integrations, tools, and connectors.
• Model, validate, and enforce schema consistency using Pydantic models and OOP best practices.
• Debug integration issues with meticulous attention to detail and document findings for team knowledge sharing.
• Continuously monitor and optimize integrations for performance, reliability, and scalability.

Required Skills & Qualifications

• Strong experience with API technologies (REST, SOAP, GraphQL).
• Proficiency in building, testing, and debugging integrations using sandbox/test environments.
• Proven track record of attention to detail in QA and debugging.
• Experience setting up and managing MCP servers.
• Strong understanding of AI, LLMs, tool-calling, and prompt engineering concepts.
• Proficiency in Python, with the ability to read and write clean, modular code.
• Familiarity with Pydantic models and object-oriented programming principles.
• Excellent problem-solving and analytical skills, with the ability to work * independently and collaboratively.

Preferred (Nice-to-Have)

• Experience working on integration platforms (iPaaS, Zapier-like systems, or internal connector frameworks).
• Knowledge of cloud infrastructure (AWS, GCP, Azure).
• Familiarity with CI/CD pipelines for automated testing and deployment of integrations.
• Contributions to open-source projects related to APIs, AI tooling, or connectors.