Principal AI Engineer
Hyderabad, India
R
INR 3242K-4800K (estimate) Senior-level Full Time
Tasks
- Architect graph based agent workflows
- Build hybrid intelligence patterns with rule logic
- Build production FastAPI applications
- Create evaluation frameworks for agents
- Design autonomous multi-agent workflows
- Develop reusable agent node libraries
- Ensure compliance with responsible AI standards
- Implement enterprise security integration
- Implement observability and tracing
- Implement prompt management systems
- Implement real time agent streaming
- Implement tool calling protocols
- Integrate PostgreSQL and Redis
- Integrate RESTful and event driven APIs
- Integrate cloud LLM providers
- Mentor junior engineers
- Optimize token usage and LLM costs
- Participate in architecture reviews
- Persist conversation state with Redis checkpointing
Perks/Benefits
Skills/Tech-stack
AWS | AWS Bedrock | Access Control | Anthropic Claude | Async IO | Asyncio | Autogen | Azure | Azure OpenAI | CI/CD | CrewAI | Docker | End to End | End-to-End Testing | FastAPI | Function Calling | GPT-4 | Git | Google Cloud | Integration Testing | LDAP | LLMOps | Langchain | Langfuse | Langgraph | Langsmith | Model Context Protocol | Model Context Protocol MCP | OpenAI GPT | OpenAI GPT-4 | Plan-and-Execute | PostgreSQL | Prompt engineering | Prompt templating | Protocol MCP | Python | REST | React | Redis | SSO | Server-Sent Events | Token optimization | Unit Testing | WebSockets
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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