Principal AI Engineer, PDS BI&T
Tasks
- Architect multi agent system workflows
- Build FastAPI applications with async I/O
- Build graph based orchestration workflows
- Build response transformation pipelines
- Collaborate on streaming interfaces and visualization
- Create hybrid intelligence using rules and statistics
- Create reusable agent node libraries
- Deploy containerized services with Docker
- Design RESTful APIs
- Design versioning strategies and testing frameworks
- Develop autonomous agent platforms
- Implement CI/CD pipelines
- Implement SSE and WebSocket streaming
- Implement error handling and graceful degradation
- Implement evaluation frameworks for agent accuracy
- Implement event-driven architectures
- Implement state machines with conditional routing
- Implement tool calling protocols
- Integrate cloud LLM providers
- Integrate enterprise security patterns LDAP SSO access control
- Integrate observability platforms for agent tracing
- Manage prompts with versioning templating and dynamic compilation
- Mentor engineers on async Python and LLMOps
- Monitor performance LLM usage latency cost and quality
- Optimize token usage and reduce LLM costs
- Participate in architecture reviews and documentation
- Persist conversation state with Redis
- Translate requirements into agent workflows with data teams
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Bedrock | Access Control | Anthropic Claude | Asyncio | Autogen | Azure | Azure OpenAI | CI/CD | CrewAI | Docker | FastAPI | Function Calling | GPT-4 | Git | Google Cloud | LDAP | Langchain | Langfuse | Langgraph | Langsmith | Model Context Protocol | OpenAI GPT | OpenAI GPT-4 | Plan-and-Execute | PostgreSQL | Prompt engineering | Python | REST | React | Redis | Redis checkpointing | SSE | SSO | WebSocket
Education
N/A
Roles
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