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5+ Years Experience | Frontend & On-Device AI

Gurugram/Bengaluru (Hybrid)

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In the AI-Native world, apps aren’t just frontends — they’re where AI meets the user in real time. To make this seamless, we need engineers who can combine frontend craft with on-device AI deployment.

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our client is building products where \*\*Flutter UIs, native bridges, and small AI models (SLMs, voice)\*\* work in harmony. As \*\*Tech Lead, Frontend & On-Device AI,\*\* you’ll spearhead the effort to deliver \*\*low-latency, cross-platform mobile experiences\*\* that feel magical — blending world-class UIs with optimized AI inference.

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As Tech Lead, Frontend & On-Device AI, you will:

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🛠️ \*\*Lead Cross-Platform Mobile Development\*\* — Drive the development of production-grade apps with \*\*Flutter/Dart\*\*, while knowing when to lean on \*\*Swift/Kotlin native modules\*\* for performance-critical AI/audio.

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🎯 \*\*Integrate AI Models into Interfaces\*\* — Embed \*\*SLMs, voice models, and multimodal AI\*\* into apps with a focus on \*\*latency, memory efficiency, and user experience\*\*.

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⚙️ \*\*Deploy & Optimize On-Device Models\*\* — Work with \*\*TensorFlow Lite, CoreML, PyTorch Mobile, ONNX Runtime\*\* using \*\*quantization, pruning, and distillation\*\* to achieve real-time inference.

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🏗️ \*\*Architect AI-First Features\*\* — Ensure \*\*frontend, native bridges, and backend APIs\*\* are tightly orchestrated.

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🔄 \*\*Collaborate Across Disciplines\*\* — Partner with AI researchers, designers, and backend engineers to build polished \*\*AI-native features\*\*.

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⚡ \*\*Prototype Fast, Ship Faster\*\* — Lead rapid experimentation and push \*\*new AI-powered experiences\*\* into production.

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- \*\*5+ years of engineering experience\*\*, with strong foundations in \*\*frontend/mobile\*\*.

- \*\*Deep expertise in Flutter/Dart\*\*, with proven track record shipping \*\*iOS & Android apps\*\*.

- Experience bridging \*\*Flutter with native (Swift/Kotlin)\*\* for performance-critical paths.

- Proven experience building \*\*AI-powered user experiences\*\* (SLMs, voice, multimodal).

- Familiarity with \*\*on-device ML deployment\*\* (TFLite, CoreML, PyTorch Mobile, ONNX Runtime).

- Strong grasp of \*\*mobile performance constraints\*\* (latency, memory, battery, offline).

- Experience mentoring teams and driving \*\*best practices at the AI × Frontend interface\*\*.

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\*\*Bonus:\*\*

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- Hands-on deployment of \*\*SLMs or voice models on-device\*\*.

- Contributions to \*\*open-source Flutter or AI projects\*\*.

- Experience with \*\*multimodal AI\*\* (vision, speech, text).

- Skills in \*\*low-level profiling\*\* (token streaming, audio pipelines, GPU/NNAPI/ANE optimization).