Senior Manager AI Engineering
Tasks
- Architect multi-agent systems
- Build graph-based workflows
- Build observability and monitoring systems
- Build tool-calling protocols
- Collaborate with UX teams
- Create hybrid intelligence patterns
- Design agent platforms
- Design prompt management systems
- Develop autonomous agent workflows
- Develop backend APIs
- Develop response transformation pipelines
- Implement conversation state persistence
- Implement real-time streaming
- Integrate cloud LLM providers
- Mentor junior engineers
- Optimize LLM token usage
- Participate in architecture reviews
- Partner with data engineers and analysts
Perks/Benefits
Skills/Tech-stack
AWS | Agent Design | Agent Orchestration | Agent design patterns | Agent design patterns ReAct | Asyncio | Autogen | Azure | CrewAI | Distributed Systems | Docker | Error Handling | FastAPI | Git | Google Cloud | LLM | LLM API | Langchain | Langgraph | Observability | Plan-and-Execute | PostgreSQL | Prompt engineering | Protocols LDAP | Python | REST APIs | Redis | SSO | Security Protocols | Security protocols LDAP | Server-Sent Events | Telemetry | Tool-Calling | WebSocket | Workflow design
Education
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