Artificial Intelligence Engineer

Role Purpose: Design, build and operate production-grade AI and machine learning solutions across the full lifecycle. The role combines Generative AI and Agentic AI engineering with MLOps, scalable model serving, cloud infrastructure, production monitoring and responsible engineering controls. • Core engineering: Strong production Python engineering, API development, automated testing and asynchronous or distributed service patterns. • Deep learning: Hands-on PyTorch experience and strong understanding of transformer architecture, inference and model evaluation. • Agentic AI: Experience with ReAct or comparable agent patterns, including tool calling, memory, reasoning and orchestration. • RAG & retrieval: Production RAG, embeddings, chunking, indexing, vector search, retrieval/ranking and grounding techniques. • Google Cloud: GCP knowledge with Vertex AI, cloud compute/storage and cloud databases; GKE experience is advantageous.