Key Responsibilities:
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
Additional Responsibilities:
Technology AI Data science PYTHON Technology AI Generative AI Generative AI Basic retrieval augmented generation rag Technology OpenSystem Python OpenSystem Python
Preferred Skills:
Technology->OpenSystem->Python - OpenSystem->Python,Technology->AI-Data science->PYTHON,Technology->AI-Generative AI->Generative AI - Basic->retrieval augmented generation (rag)