Roles & Responsibilities
Develop and deploy Generative AI applications using Large Language Models (LLMs).
Build AI-powered chatbots, virtual assistants, and automation solutions.
Design and optimize prompts for better model performance (Prompt Engineering).
Implement Retrieval-Augmented Generation (RAG) solutions using vector databases.
Integrate OpenAI, Azure OpenAI, Gemini, Claude, or open-source LLMs into applications.
Develop APIs and backend services using Python frameworks like FastAPI or Flask.
Fine-tune and evaluate machine learning and language models.
Work with embeddings, semantic search, and document processing pipelines.
Build end-to-end AI workflows using LangChain, LlamaIndex, CrewAI, or AutoGen.
Collaborate with business stakeholders to identify Gen AI use cases.
Monitor model performance, cost optimization, and AI governance.
Ensure responsible AI practices, security, and data privacy compliance.