AI Automation Engineer
Tasks
- Build agent based systems and prompt pipelines
- Create scalable workflow automation
- Design and deploy AI-powered automation solutions
- Develop autonomous systems using internal tools and APIs
- Develop reusable automation components and tooling
- Ensure data privacy and security compliance
- Ensure reliability security and responsible AI
- Implement guardrails access controls and safety mechanisms
- Implement observability, logging, and monitoring
- Integrate AI systems with internal platforms
- Measure performance impact
- Refine prompts workflows and models
- Write production-ready code
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS | Access Control | Azure | Distributed Systems | Event Driven | Event-driven architecture | GCP | Java | JavaScript | Language Models | Large Language Models | Logging | Machine Learning | Monitoring | Observability | Prompt engineering | Python | REST APIs | Retrieval-Augmented Generation | Security Compliance | Vector Databases | Workflow Orchestration
Education
N/A
Roles
AI | AI & Automation Engineer | AI Automation | Automation Engineer | Engineer
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