Principal AI Engineer
Hyderabad, India
R
INR 3407K-5000K (estimate) Senior-level Full Time
Tasks
- Architect graph based agent workflows
- Build RESTful and event driven APIs
- Build production FastAPI applications
- Create evaluation frameworks for agent quality
- Design autonomous multi-agent workflows
- Develop hybrid intelligence patterns
- Develop reusable agent node libraries
- Ensure data governance and Responsible AI compliance
- Implement agent streaming with SSE and WebSocket
- Implement enterprise security with LDAP and SSO
- Implement prompt management with versioning and templating
- Implement response transformation pipelines
- Implement tool calling protocols
- Integrate PostgreSQL and Redis
- Integrate cloud LLM providers
- Integrate observability and tracing
- Mentor engineers on async Python and LLMOps
- Optimize token usage and LLM costs
- Persist conversation state with Redis checkpointing
- Translate requirements into agent workflows
Perks/Benefits
Skills/Tech-stack
AWS | AWS Bedrock | Access Control | Asyncio | Autogen | Azure | Azure OpenAI | CI/CD | Cost Optimization | CrewAI | Docker | End to End | End-to-End Testing | Error Handling | FastAPI | Function Calling | Git | Google Cloud | Integration Testing | LDAP | LLMOps | Langchain | Langfuse | Langgraph | Langsmith | Model Context Protocol | Observability | OpenAI | Plan-and-Execute | PostgreSQL | Prompt engineering | Prompt templating | Prompt versioning | Python | REST | React | Redis | SSE | SSO | Server-Sent Events | Telemetry | Templating | Token optimization | Tool use | Tool-use agents | Unit Testing | WebSocket | WebSockets | Webhooks
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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