Director of Engineering - Artificial Intelligence

We are looking for a Director of Engineering (AI Systems & Secure Platforms) to :

Join our Core Engineering team at Thane (Maharashtra India).

Have 1215+ 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 :

- 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 :

- 1215+ years of experience in Applied AI, Deep Learning, Edge AI deployment, Secure

Top 5 Skills You Should Possess :

- 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).

Cross-Functional Collaboration Excellence :

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 Youll Be Creating :

- 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 :

- 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.