AI/ML Engineer with hands-on experience to build production-grade multi-agent AI applications, Agentic RAG knowledge assistants, and scalable ML pipelines. candidate should have strong applied AI background in distributed reasoning, retrieval-augmented architectures, and cloud-native deployment (Kubernetes, Docker, FastAPI), plus data science experience with large-scale consumer data modeling. good to have experience experience with impact improving reliability, latency, and model quality (e.g., reduced hallucinations, faster inference, higher multi-hop accuracy)