AI Integrations Engineer
Tasks
- Build and maintain MCP servers
- Build and optimize data pipelines
- Collaborate with security and compliance teams
- Create reusable connectors
- Design backend AI architecture on Google Cloud
- Develop and document REST APIs
- Implement authentication and authorization
- Implement logging and observability
Perks/Benefits
- 401k matching
- Dental insurance
- Disability insurance
- Flexible paid time off
- Life insurance
- Medical insurance
- Paid Holidays
- Paid parental leave
- Remote work
- Vision insurance
Skills/Tech-stack
AI vector search | API Gateway | Agent Builder | AlloyDB | Apigee | BigQuery | Cloud Data | Cloud Data Fusion | Cloud Functions | Cloud IAM | Cloud Run | Cloud Workflows | Data Fusion | Data Governance | Data Modeling | Dataflow | ELT | ETL | Embeddings | Google Cloud | Google Cloud Functions | Google Cloud Run | Google Cloud Workflows | OAuth | OAuth 2.0 | OIDC | OpenID Connect | PII | Python | RAG | REST API | SQL | Secret Manager | Service accounts | TypeScript | Vector Search | Vertex AI | Vertex AI Agent Builder | Vertex AI Vector Search
Education
N/A
Roles
AI | AI Integrations Engineer | Engineer | Integrations Engineer | Software Engineer
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