We are looking for a Director of Engineering AI Systems Secure Platforms to join our client s Core Engineering team at Thane Maharashtra - India The ideal candidate should have 12-15 years of experience in architecting and deploying AI systems at scale with deep expertise in agentic AI workflows LLMs RAG Computer Vision and secure mobile wearable platforms Top 3 Daily Tasks Architect optimize and deploy LLMs RAG pipelines and Computer Vision models for smart glasses and other edge devices Design and orchestrate agentic AI workflows enabling autonomous agents with planning tool usage error handling and closed feedback loops Collaborate across AI Firmware Security Mobile Product and Design teams to embed invisible intelligence within secure wearable systems Must have 12-15 years of experience in Applied AI Deep Learning Edge AI deployment Secure Mobile Systems and Agentic AI Architecture Must have Programming languages Python C C Java Kotlin JavaScript Node js Swift Objective-C CUDA Shell scripting Expert in TensorFlow PyTorch ONNX HuggingFace model optimization with TensorRT TFLite Deep experience with LLMs RAG pipelines vector DBs FAISS Milvus Proficient in agentic AI workflows multi-agent orchestration planning feedback loops Robust in privacy-preserving AI federated learning differential privacy Secure real-time comms WebRTC SIP RTP Nice to have Experience with MCP or similar protocol frameworks Background in wearables XR or smart glass AI platforms Expertise in platform security architectures sandboxing auditability

📌 Director Of Engineering (ai Systems & Secure Platforms) (Thane)
🏢 Qode
📍 Thane