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