AI Automation Engineer/ Sr. AI Automation Engineer
Tasks
- Automate dependency updates
- Build and deploy micro apps
- Build evaluation and regression testing
- Control tokens and costs
- Design build and publish AI agents
- Develop retrieval and tool calling pipelines
- Harden applications for production
- Implement secrets management
- Integrate AI into business systems
- Manage authentication and access controls
- Monitor AI quality and drift
- Run and maintain applications on GCP
- Set up CI CD logging and monitoring
Perks/Benefits
- Bonus Day for Your Birthday
- Health & wellness days
- Holiday and Vacation Time
- Medical, dental, and vision coverage
Skills/Tech-stack
AI vector search | Authentication | Braintrust | CI/CD | Claude | Cloud platform | Cost Control | GCP | Google Cloud | Google Cloud Platform | Langfuse | Langsmith | Language Models | Large Language Models | Logging | Monitoring | Netsuite | PGVector | Pinecone | Python | REST APIs | Retrieval-Augmented Generation | SQL | Salesforce | Secrets management | Slack | Token Cost | Token Cost Control | Tool-Calling | Vector Databases | Vector Search | Version control | Vertex AI | Vertex AI Vector Search
Education
N/A
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