Principal AI Engineer
Tasks
- Architect graph based agent workflows
- Build production grade FastAPI applications
- Build tool calling protocols for external data sources
- Design autonomous multi-agent workflows
- Develop hybrid intelligence patterns
- Develop reusable agent node libraries
- Ensure data governance and Responsible AI compliance
- Implement conversation state persistence
- Implement evaluation frameworks for agents
- Implement prompt management systems
- Implement real time agent streaming
- Integrate PostgreSQL and Redis
- Integrate cloud LLM providers
- Integrate enterprise security with LDAP and SSO
- Integrate observability and tracing
- Mentor engineers on async Python and agent design
- Optimize token usage and LLM costs
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Access Control | Anthropic Claude | Asyncio | Autogen | Azure | Azure OpenAI | Bedrock | CI/CD | CrewAI | Docker | End to End | End-to-End Testing | Enterprise Integration | Error Handling | FastAPI | Function Calling | GPT-4 | Git | Google Cloud | Integration Testing | LDAP | LLMOps | Langchain | Langfuse | Langgraph | Langsmith | Model Context Protocol | Model prompting | Observability | OpenAI GPT | OpenAI GPT-4 | PostgreSQL | Prompt engineering | Python | REST | Redis | SSO | Server-Sent Events | Telemetry | Testing | Token optimization | Unit Testing | Web Security | WebSocket | Webhooks
Education
Roles
AI | AI Engineer | Engineer | Principal | Principal AI Engineer
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