Senior Manager AI Engineering
Tasks
- Architect multi-agent systems
- Build FastAPI async applications
- Build async concurrent operations
- Build graph based orchestration workflows
- Collaborate with UX teams on streaming interfaces
- Collaborate with data engineers and analysts
- Create testing and evaluation frameworks
- Deploy containerized services with Docker
- Design REST APIs and event driven architecture
- Design reusable agent node libraries
- Develop agent workflows
- Implement SSE and WebSocket streaming
- Implement state machines with conditional routing
- Implement tool calling protocols
- Integrate cloud LLM providers
- Integrate enterprise security LDAP SSO access control
- Integrate observability and tracing
- Manage prompts with versioning and templating
- Mentor engineers on async Python and LLMOps
- Monitor agent performance latency costs quality
- Optimize token usage and LLM costs
- Participate in architecture reviews and documentation
- Persist conversation state with Redis
- Transform responses into structured analytical outputs
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | Access Control | Anthropic Claude | Async IO | Asyncio | Autogen | Azure OpenAI | CI/CD | CrewAI | Docker | End to End | End-to-End Testing | Evaluation Frameworks | Event Driven | Event-driven architecture | FastAPI | Function Calling | GPT-4 | Graph orchestration | Integration Testing | LDAP | Langchain | Langfuse | Langgraph | Langsmith | Model Context Protocol | Observability | OpenAI GPT | OpenAI GPT-4 | Plan-and-Execute | PostgreSQL | Prompt engineering | Prompt templating | Python | REST | React | Redis | SSO | Server-Sent Events | Telemetry | Token optimization | Tool-Calling | Unit Testing | WebSocket
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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