AI Engineer (REF5308Q)
Tasks
- Architect for multi cloud compatibility
- Build CI/CD pipelines
- Build RAG systems
- Create microservices
- Create runbooks and deployment guides
- Create technical and non-technical documentation
- Design Agentic AI systems
- Design event-driven architectures
- Design vendor agnostic AI architectures
- Develop infrastructure as code
- Ensure security scalability reliability
- Implement monitoring and logging
- Integrate LLMs with business logic
- Orchestrate multi-agent systems
- Own production deployment lifecycle
- Set up alerting and observability
- Support demos and POCs
- Write Python code
Perks/Benefits
Skills/Tech-stack
API Development | AWS | Agent systems | Agentic AI | Alerting | Bash | CI/CD | Event Driven | Event-driven architecture | Incident Response | Infrastructure as Code | LLM integration | Language Models | Large Language Models | Logging | Microservices | Monitoring | Multi-Agent | Multi-Agent Systems | Multi-cloud | Observability | Orchestration | Python | RAG | Reliability | Retrieval-Augmented Generation | Scalability | Security | Shell | Terraform | “as-code”
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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