AI Integrations Engineer
New
USFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLGCPTypeScriptRESTful APIsBigQuery
Requirements
- 5+ years of experience in software engineering, data engineering, or integration-focused roles
- Strong expertise in data engineering concepts including SQL, ETL/ELT pipelines, and dimensional modeling
- Experience with modern cloud data platforms such as BigQuery, Snowflake, Databricks, or Redshift
- Hands-on experience integrating at least one major CRM and one ERP system, including API-level work and data modeling
- Strong proficiency in Google Cloud Platform services such as Cloud Run, Cloud Functions, Apigee/API Gateway, IAM, and data tools like BigQuery or Dataflow
- Strong programming skills in Python and/or TypeScript
- Experience designing and deploying REST APIs consumed by internal or external systems
- Solid understanding of authentication and authorization standards such as OAuth 2.0, OIDC, and service account models
- Experience working in cross-functional environments and translating business needs into technical solutions
- Strong communication skills with the ability to support both technical and non-technical stakeholders
Responsibilities
- Design, build, and maintain Model Context Protocol (MCP) servers that securely expose internal systems, tools, and data to AI platforms
- Develop and document scalable APIs enabling AI agents to interact with CRM, ERP, and other enterprise systems of record
- Architect and implement backend AI infrastructure on Google Cloud, leveraging services such as Vertex AI, Cloud Run, Cloud Functions, Apigee, and Workflows
- Build and optimize data pipelines that ensure clean, structured, AI-ready datasets are available in modern data warehouses
- Partner with business users to translate AI agent prototypes into secure, production-grade integrations and workflows
- Implement authentication, authorization, observability, and logging across all AI integrations to ensure governance and transparency
- Establish reusable integration patterns, connectors, and documentation to accelerate future development efforts
- Collaborate with security and compliance teams to ensure safe, governed access to sensitive enterprise data
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