Director of Engineering (AI Systems & Secure Platforms)

Director of Engineering (AI Systems & Secure Platforms)

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
  

Minimum Work Experience Required:

12-15+ years of experience in Applied AI, Deep Learning, Edge AI deployment, Secure Mobile Systems, and Agentic AI Architecture

Top 5 Skills You Should Possess:

• 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 systems—multi-agent workflows, adaptive planning, tool chaining, and MCP (Model Context Protocol)
  

Cross-Functional Collaboration Excellence:

• Partner with Platform & Security teams to define secure MCP server blueprints exposing device tools, sensors, and services with strong 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 You'll Be Creating:

• Agentic, MCP-enabled pipelines for smart glasses—featuring 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 that reflects our commitment to building purposeful and conscious technology
  

Preferred Skills:

• Familiarity with secure real-time protocols: WebRTC, SIP, RTP
• Programming proficiency in C, C++, Java, Python, Swift, Kotlin, Objective-C, Node.js, Shell Scripting, CUDA (preferred)
• Experience designing AI platforms for wearables/XR with real-time and low-latency constraints
• Deep knowledge of MCP deployment patterns—secure token handling, audit trails, permission governance
• Proven leadership in managing cross-functional tech teams across AI, Firmware, Product, Mobile, and Security