15 years
0 Lacs
Posted:2 days ago|
Platform:
On-site
Full Time
deep expertise in agentic AI workflows, LLMs, RAG, Computer Vision, and secure
mobile/wearable platforms.
● 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.
● 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).
● 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.
● 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.
● 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.
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