Director of Engineering- AI Systems

1 day ago

Thāne, Maharashtra, India Qode Jobs Full time ₹ 1,04,000 - ₹ 1,30,878 per year

Position :
 Director of Engineering AI Systems & Secure Platforms

Location :
 Thane, Maharashtra, India

Experience :
 12 to 15+ years

About the Role :

We are looking for a Director of Engineering to join our Core Engineering team to lead the development of next-generation smart wearable devices. The ideal candidate will have extensive experience architecting and deploying AI systems at scale, with expertise in agentic AI workflows, LLMs, RAG, Computer Vision, and secure mobile/wearable platforms.

Key Responsibilities :

  • Architect, optimize, and deploy LLMs, RAG pipelines, and Computer Vision models for smart glasses and other edge devices.

  • Design and orchestrate agentic AI workflowsenabling 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.

  • Partner with Platform & Security teams to define secure MCP server blueprints exposing device tools, sensors, and services with governance and traceability.

  • Coordinate with Mobile and AI teams to integrate agentic workflows across Android, iOS, and AOSP environments.

  • Work with Firmware and Product teams to define real-time sensor-agent interactions, secure data flows, and adaptive behavior in smart wearables.

  • What Youll Be Creating :

  • Agentic, MCP-enabled pipelines for smart glassesfeaturing intelligent agents for vision, context, planning, and secure execution.

  • Privacy-first AI systems combining edge compute, federated learning, and cloud integration.

  • A scalable, secure wearable AI platform focused on purposeful and conscious technology.

Required Skills & Experience :

  • 12 to 15+ years in Applied AI, Deep Learning, Edge AI deployment, Secure Mobile Systems, and Agentic AI Architecture.

  • Expertise in TensorFlow, PyTorch, HuggingFace, ONNX, and optimization tools like TensorRT, TFLite.

  • Strong hands-on experience with LLMs, Retrieval-Augmented Generation (RAG), and Vector Databases (FAISS, Milvus).

  • Deep understanding of Android/iOS integration, AOSP customization, and secure communication (WebRTC, SIP, RTP).

  • Experience in Privacy-Preserving AI (Federated Learning, Differential Privacy) and secure AI APIs.

  • Proven track record in architecting and deploying agentic AI systemsmulti-agent workflows, adaptive planning, tool chaining, and MCP (Model Context Protocol).

Preferred Skills :

  • Familiarity with secure real-time protocols : WebRTC, SIP, RTP.

  • Programming proficiency in C, C++, Java, Python, Swift, Kotlin, Objective-C, , Shell Scripting, CUDA (preferred).

  • Experience designing AI platforms for wearables/XR with real-time and low-latency constraints.

  • Deep knowledge of MCP deployment patternssecure token handling, audit trails, permission governance.

  • Proven leadership in managing cross-functional tech teams across AI, Firmware, Product, Mobile, and Security.

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