AI Engineer
Tasks
- Architect AI agents
- Build full-stack features
- Develop RAG pipelines
- Develop and deploy AI agent systems
- Implement observability for microservices
- Integrate AI with backend sensor pipelines
- Manage multi agent workflows
- Monitor AI model performance
- Orchestrate prompts and agent workflows
- Use AI development tools for coding debugging and testing
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Artificial Intelligence | Azure | Azure Event | Azure Event Hubs | Azure OpenAI | Event Driven | Event Hubs | Event-driven architecture | Fault Tolerance | Kubernetes | Language Models | Large Language Models | Microservices | Multi-Agent | Multi-Agent Systems | Observability | Prompt engineering | Prompt orchestration) | RAG | Resiliency | Retrieval-Augmented Generation | Series analysis | Streaming Data | Terraform | Time Series | Time Series Analysis
Education
N/A
Roles
AI | AI Engineer | Engineer | Full Stack | Full Stack AI Engineer
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