AI Automation Engineer
Tasks
- Add logging and guardrails
- Add observability and monitoring
- Build agent-based systems
- Build production code
- Build prompt pipelines
- Create workflow automation using APIs
- Design deploy AI automation solutions
- Develop autonomous or semi autonomous systems
- Develop reusable automation components
- Ensure data privacy and security compliance
- Ensure reliability and security
- Identify automation opportunities
- Implement access controls and safety mechanisms
- Implement retrieval-augmented generation workflows
- Integrate AI systems with internal platforms
- Measure performance impact
- Orchestrate workflows
- Partner on safe AI deployment
- Refine prompts workflows and models
- Use event-driven architecture
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS | Access Control | Agentic Systems | Anthropic API | Cloud platform | Distributed Systems | Event Driven | Event-driven architecture | Google Cloud | Google Cloud Platform | Guardrails | JavaScript | LLM APIs | Logging | Machine Learning | Microsoft Azure | Monitoring | Observability | OpenAI API | Python | RAG | Retrieval-Augmented Generation | Security | Vector Database | Workflow Orchestration
Education
N/A
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