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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

About the Role

We're looking for a hands-on AI Architect to lead the design and delivery of AI-native applications. You will define the AI stack, establish engineering standards, and drive adoption of AI-assisted development across teams.

Responsibilities

• Architect and build production-grade AI applications.
• Evaluate and standardize AI frameworks, tools, and platforms.
• Design agentic systems, RAG pipelines, and AI workflows.
• Establish AI evaluation, testing, guardrails, and observability practices.
• Drive AI-native development and delivery acceleration initiatives.
• Partner with engineering and product teams on technical roadmap decisions.

Requirements

• 7+ years of software engineering experience.
• Strong experience with LLMs, RAG, embeddings, prompt engineering, and agent frameworks.
• Experience with LangGraph, AutoGen, MCP, or similar ecosystems.
• Hands-on experience with AI evaluations (DeepEval, Ragas), guardrails, and structured outputs.
• Strong Python and TypeScript/Java skills.
• Experience with Kubernetes, CI/CD, IaC, observability, and event-driven architectures.
• Proven experience shipping AI applications to production.