
Lead Mobile Engineer – Android & iOS
at Healthcare - AI Software Development
Lead Mobile Engineer - Android & iOS, AI-Native Healthcare Apps
📍 Location: Hyderabad, India
📍 Work Type: Full-Time | On-site / Hybrid
📍 Experience: 5–7 Years
Role Overview
Lead design, development, and delivery of mobile apps across Android and iOS. Own architecture, quality, and mobile engineering practice. Integrate Voice AI, conversational AI, and real-time features into patient-facing healthcare applications.
Key Responsibilities
Mobile Architecture & Delivery
• Lead architecture and development of native or cross-platform mobile apps (Android & iOS)
• Set technical direction, coding standards, and best practices for mobile
• Deliver performant, polished, accessible mobile experiences at scale
• Own app release process: app store submissions, versioning, mobile CI/CD
AI & Real-Time Integration
• Integrate Voice AI, conversational AI, and LLM-powered features into mobile
• Build real-time patient engagement experiences (streaming, push, WebSockets)
• Collaborate with backend, product, and design on cohesive AI experiences
Quality & SDLC
• Monitor app performance, crashes, and user feedback; drive continuous improvement
• Champion mobile SDLC practices: testing, CI/CD, code review, release management
• Leverage AI coding tools (Cursor, Copilot, Claude Code) to increase velocity
Leadership & Mentorship
• Mentor and guide mobile engineers; conduct technical reviews
• Own mobile engineering standards and drive architectural decisions
Requirements
• 5–7 years mobile development (Android & iOS)
• Strong native expertise: Kotlin/Java (Android) and/or Swift (iOS)
• OR cross-platform expertise: React Native or Flutter
• Proven mobile architecture and technical decision leadership
• Deep mobile performance, offline support, and security knowledge
• Full app release lifecycle and store guidelines experience
• Track record mentoring engineers and leading delivery
• API integration and mobile-backend communication expertise
• Strong ownership mindset and AI-first working style
Nice-to-Have
• AI/LLM or conversational AI features in mobile apps
• Video stack experience: streaming, recording, real-time communication (WebRTC)
• Real-time/streaming and push notification systems at scale
• Mobile open-source contributions or published apps at scale
• Healthcare technology or health-tech startup experience
Why this opportunity?
• Build infrastructure and products powering real-world healthcare AI
• Work with AI-native engineering teams using cutting-edge tools (Claude Code, Cursor, Copilot)
• Mission-driven impact — improve patient outcomes and save thousands of staff hours
• High ownership, rapid learning, and significant career upside
• Global collaboration across India and the US
• Seed-stage growth — scale from Seed to Series A alongside the team

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