Senior GenAI Developer
Tasks
- Build CI CD pipelines for ML and application code
- Build LLM application pipelines with LangChain
- Build LLM application workflows with LangGraph
- Build LLM powered conversational platform
- Build distributed systems
- Deploy and monitor ML and AI models
- Deploy services on Kubernetes
- Design RAG pipelines
- Design microservices architecture
- Develop React conversational UI
- Develop agent workflows with CrewAI
- Develop backend APIs with Django
- Develop backend APIs with FastAPI
- Develop backend APIs with Flask
- Develop multi turn conversational AI
- Enforce data privacy and access control
- Ensure scalability, reliability, and observability
- Implement authentication and authorization
- Implement multi-agent workflows
- Implement safe prompt design
- Implement streaming responses
- Integrate OData APIs with enterprise systems
- Integrate REST APIs with enterprise systems
- Manage chat history and multi turn conversations
- Mitigate prompt injection risks
- Use AWS services
- Use Azure ML
- Use DataBricks
- Use docker for containerization
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Access Control | Agent systems | Authentication | Authorization | Azure ML | CI/CD | CrewAI | Data Privacy | Databricks | Distributed Systems | Django | Docker | FastAPI | Flask | Java | Kubernetes | Langchain | Langgraph | Microservices | Model Monitoring | Multi-Agent | Multi-Agent Systems | Node.js | OData | Prompt engineering | Python | REST | React | Retrieval-Augmented Generation
Education
Roles
AI | AI Engineer | Engineer | Generative AI Engineer | Software Engineer
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