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Director of Engineering (AI Systems & Secure Platforms)

15 years

0 Lacs

Thane, Maharashtra

Posted:5 days ago| Platform: Indeed logo

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Skills Required

engineering ai vision mobile design planning security learning deployment architecture programming javascript model optimization orchestration sip

Work Mode

On-site

Job Type

Full Time

Job Description

We are looking for a Director of Engineering (AI Systems & Secure Platforms) to
join our client's 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
  • 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)

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