We are looking for an experienced AI/ML Engineer with hands-on expertise in Generative AI, Agentic AI, Large Language Models (LLMs), RAG architectures and production deployment of AI solutions.
The candidate will design and develop agentic workflows using frameworks such as LangGraph/LangChain, build and optimize RAG pipelines, integrate vector databases and LLM APIs, and deploy scalable AI/ML applications.
The role requires robust Python skills and experience with LLMOps/MLOps, model evaluation, prompt engineering, embeddings, APIs, Docker/Kubernetes and cloud platforms.
Candidates should have practical experience taking GenAI/ML solutions from development to production.