Full Stack Software Engineer

The AI Infrastructure Engineer position involves designing, deploying, and scaling infrastructure for enterprise AI and generative AI applications. Focus areas include building and optimizing vector database platforms, embedding pipelines, and scalable AI infrastructure to support high-performance Retrieval-Augmented Generation (RAG) and AI agent workflows. The ideal candidate requires strong experience with Kubernetes, vector databases such as Milvus, embedding models, and distributed systems. You will collaborate closely with AI/ML engineers, backend teams, and platform architects to ensure the infrastructure is reliable, scalable, and production-ready. Key expertise includes vector databases, OpenAI/HuggingFace embeddings, and Kubernetes, essential for managing robust AI systems at scale.