ML & AI Engineer – Python, LLM, RAG, GCP We are seeking a Machine Learning / AI Engineer to help build and deploy production-grade generative AI and LLM systems powering next-generation conversational digital experiences. This role focuses on designing and engineering LLM applications, RAG pipelines and scalable AI infrastructure using Python and Google Cloud (GCP). You will work on cutting-edge agentic AI and conversational AI platforms, building services that support intelligent assistants and automated customer interactions. Key Responsibilities \* Build and deploy LLM-based applications and generative AI solutions \* Develop RAG (Retrieval Augmented Generation) pipelines \* Engineer scalable microservices-based AI platforms \* Design and maintain data pipelines using Python and Spark \* Implement CI/CD pipelines for machine learning and AI systems \* Work with GCP services including Vertex AI, BigQuery, Dataflow, Spanner and Firestore \* Contribute to prompt engineering, LLM evaluation and monitoring \* Build integrations between AI agents and enterprise systems Required Skills \* Strong Python development experience \* Experience building LLM or generative AI applications \* Knowledge of RAG pipelines and prompt engineering \* Experience with microservices architecture and CI/CD \* Hands-on experience with Google Cloud Platform (GCP) \* Familiarity with Spark or large-scale data pipelines Nice to Have \* Experience with LangChain, LangGraph or agentic AI frameworks \* Knowledge of multi-agent architectures or AI orchestration \* Experience building production AI platforms This is an opportunity to work on large-scale AI engineering challenges, delivering production AI systems and intelligent digital assistants using modern LLM, generative AI and cloud-native technologies