Generative AI Engineer

Responsibilities: * Develop and deploy Generative AI/LLM applications . * Work with models such as GPT, Llama, Gemini, Claude , etc. * Build RAG (Retrieval-Augmented Generation) pipelines and AI agents. * Develop prompts and optimize model performance. * Work with Python, LangChain/LangGraph, APIs, vector databases , and cloud platforms. * Fine-tune or evaluate LLMs when required. * Integrate AI solutions into existing applications and APIs. * Monitor AI systems for accuracy, performance, and reliability. * Collaborate with software engineers, data scientists, and product teams. Required Skills: * Strong Python programming. * Knowledge of LLMs and Generative AI . * Experience with RAG, embeddings, vector databases, and prompt engineering . * Familiarity with machine learning/NLP concepts. * Experience with REST APIs and cloud platforms such as AWS, Azure, or GCP . * Knowledge of Git, Docker, and basic software engineering practices.