AI Backend Engineer
Tasks
- Architect AI agent backend infrastructure
- Build agent runtime infrastructure
- Build multi-agent orchestration systems
- Build queues and event driven systems
- Build scalable APIs
- Coordinate task execution and memory systems
- Design secure deployment architectures
- Develop autonomous workflow systems
- Implement real time communication layers
- Implement sandboxing for agent runtimes
- Integrate MCP servers
- Integrate tools skills and external execution environments
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | Agent Orchestration | Agent systems | Autonomous workflows | Distributed Systems | Docker | Event Driven | Event-driven architecture | Kafka | Kubernetes | MCP | Message Queues | Multi-Agent | Multi-Agent Systems | NATS | Python | RAG | Real Time | Real-Time Communication | Sandboxing | Secure deployment | Tool-Calling
Education
N/A
Roles
AI | AI Backend Engineer | Backend | Backend Engineer | Engineer
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