- Design develop and deploy enterprise grade Generative AI solutions
- Build end to end AI applications covering data ingestion retrieval generation and evaluation
- Architect and implement LLM powered applications using modern AI frameworks and tools
- Develop Agentic AI solutions leveraging frameworks such as CrewAI LangChain LangGraph LlamaIndex AutoGen and Langfuse
- Design and optimize RAG pipelines for enterprise knowledge retrieval and reasoning
- Fine tune foundation models using instruction tuning and supervised fine tuning techniques
- Evaluate model performance and implement model engineering best practices
- Deploy and manage AI workloads in cloud environments Azure AWS or GCP
- Containerize and operationalize AI applications using Docker and Kubernetes
- Collaborate with architects data engineers and product teams to deliver scalable AI solutions
- Contribute to innovation initiatives accelerators and technology communities
- Technology AI Data science PYTHON Technology AI Generative AI Generative AI Basic retrieval augmented generation rag Technology OpenSystem Python OpenSystem Python
Technology->OpenSystem->Python - OpenSystem->Python,Technology->AI-Data science->PYTHON,Technology->AI-Generative AI->Generative AI - Basic->retrieval augmented generation (rag)
