We are looking for a Director of Engineering (AI Systems & Secure Platforms) to
join our client&aposs 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 (Android), 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
-Strong 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)