AI Engineer
Tasks
- Build CI CD workflows and containerized deployments
- Build RAG knowledge systems
- Deploy and operate LLM based systems
- Deploy in secure cloud environments
- Design multi-agent AI systems
- Develop production AI workflows
- Ensure AI governance security auditability
- Evaluate retrieval quality and improve performance
- Implement human in the loop approval workflows
- Implement logging, monitoring, and audit trails
- Integrate AI systems with business platforms via APIs
- Monitor troubleshoot and debug production AI applications
Perks/Benefits
Skills/Tech-stack
AI Evaluation | API Integration | AWS | Access Control | Agent Orchestration | Audit trails | CI/CD | Cloud platform | Containerization | Embeddings | Encryption | Event Driven | Event-driven architecture | Google Cloud | Google Cloud Platform | LLM | Langchain | Langgraph | Logging | Monitoring | Prompt engineering | Python | RAG | REST APIs | Retrieval-Augmented Generation | Role-Based Access | Role-Based Access Control | Semantic Retrieval | Semantic Search | Structured Output | Tool-Calling | Vector Databases | Webhooks
Education
N/A
Roles
AI | AI Engineer | Engineer
Regions
States
Buenos Aires F.D., AR | Cairo, EG | Addis Ababa, ET | FCT, NG | Western Cape, ZA
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