1. Client Context
Simplify Job Search was developed as an AI-powered job application and hiring platform that helps
candidates prepare stronger applications and manage their job search more intelligently. The
mobile app was created as the candidate-side mobile extension of the platform, giving job seekers
access to core Simplify Job Search workflows directly from their phones.
The mobile app focuses only on the candidate experience. It does not provide recruiter-side
administration, job-posting management, or hiring dashboard features. Instead, it allows
candidates to onboard, authenticate, set job preferences, upload or build resumes, browse jobs,
save jobs, apply to jobs, answer recruiter screening questions, use AI tools, buy credits, view AI
usage history, and download generated resume documents.
The app was designed for job seekers who need a mobile-first experience because job discovery,
resume review, application tracking, and career preparation often happen outside a desktop
environment. Candidates may find opportunities while travelling, browsing from their phone, or
responding quickly to job openings. Simplify Job Search brings resume intelligence, job-fit
workflows, and AI-powered candidate tools into a native mobile experience.
The system uses React Native, TypeScript, React Navigation, AsyncStorage, Google Sign-In,
LinkedIn OAuth, Axios, Document Picker, React Native PDF, React Native FS, Razorpay mobile
payment integration, and backend API integration with the existing Simplify Job Search platform.
The backend continues to support AI resume generation, score analysis, gap analysis, cover letter
generation, credits, payments, resumes, jobs, and candidate data through the existing cloud
architecture.
The goal of the mobile app is to make Simplify Job Search accessible as a complete candidate
career companion, not only as a web application. The mobile app extends the product reach,
improves candidate convenience, and creates a stronger end-to-end user journey for AI-powered
job search and application preparation.
2. Problem
The candidate job search journey is increasingly mobile, but many career tools still depend heavily
on desktop interfaces, manual resume handling, and fragmented workflows.
The existing candidate experience created several problems:
- Candidates often discover jobs on mobile but cannot easily complete resume analysis, AI document generation, or application workflows from the same device.
- Desktop-only job platforms reduce convenience for candidates who need quick access to resume tools, job details, saved jobs, and application actions.
- Candidates need a secure mobile login flow using familiar authentication methods such as Google and LinkedIn.
- Candidate onboarding requires multiple steps including terms acceptance, job preferences, resume upload, and profile setup, which must be handled smoothly on mobile.
- Resume upload, resume preview, generated PDF viewing, and file download are more complex on mobile devices than on web browsers.
- Candidates need mobile access to AI resume generation, score checking, gap analysis, and cover letter generation without switching to desktop.
- Job application flows may include recruiter screening questions, and candidates need an easy way to answer them from the app.
- Candidates need to track recommended jobs, saved jobs, added jobs, and applied jobs in one mobile dashboard.
- AI services require payment, credit usage, and usage history visibility so candidates can understand and control their spending.
- The app needed persistent session handling so candidates do not repeatedly log in or repeat onboarding steps.
- The mobile system had to connect reliably with existing Simplify Job Search backend APIs without duplicating business logic inside the app.
- The app also needed production-ready Android and iOS project structure to support mobile publishing and future platform expansion.
The key goal was to build a candidate-only mobile app that could bring the main Simplify Job Search
candidate workflows into a native mobile experience while reusing the existing backend and AI
platform capabilities.
3. AI Approach
The Simplify Job Search mobile app was designed as a mobile-first client for the candidate-side AI
career workflow. The app does not run heavy AI processing directly on the device. Instead, it
connects with the Simplify Job Search backend APIs, which handle AI generation, resume
processing, score analysis, gap analysis, cover letter creation, resume generation, credits,
payments, and storage.
This approach keeps the mobile app lightweight while still giving candidates access to powerful AI
services. The app focuses on native user experience, secure session handling, mobile file selection,
payment interaction, job workflow presentation, PDF preview/download, and smooth API integration.
The approach included:
Candidate Onboarding and Session Flow
The mobile app begins with a structured onboarding journey. Candidates move through splash,
intro, login, terms and conditions, job preferences, resume upload, and home dashboard screens
based on their stored session and profile state.
The splash flow checks whether the candidate is logged in, whether the first-time flow is complete,
whether job preferences are added, and whether a resume is uploaded. This helps the app route the
candidate to the correct next step instead of forcing the same onboarding path every time.
AsyncStorage is used to persist token, email, name, role, profile status, login method, resume
upload state, and job-preference state. This creates a smoother mobile experience and reduces
repeated manual setup.
Mobile Authentication
The app supports Google and LinkedIn login so candidates can access Simplify Job Search using
familiar identity providers. Google Sign-In is used for Google authentication, while React Native App
Auth supports the LinkedIn OAuth flow.
After login, candidate identity and access details are stored securely in the app state and local
storage. JWT decoding helps extract useful identity and session details when required by the app
workflow.
This authentication approach allows the mobile app to integrate with the existing Simplify Job
Search backend authentication and candidate identity model.
Job Preference and Candidate Personalization
The mobile app allows candidates to define job preferences such as desired roles, preferred
locations, notice period, and job-seeking status. These preferences support a more personalized
candidate experience.
Job preference data helps the platform present recommended jobs and maintain a candidate-specific
career context. This is important because mobile users expect the app to show relevant opportunities
quickly rather than requiring repeated manual filtering.
Resume Upload and Resume Builder Flow
Candidates can upload an existing resume or build a resume manually from the mobile app. The
upload flow uses mobile document selection, while the resume builder captures candidate
information such as contact details, skills, experience, projects, education, and achievements.
The app sends the resume and profile data to the backend where storage, extraction, and downstream
AI workflows are handled. This keeps the mobile app focused on collecting candidate inputs while
the backend manages heavier document-processing and resume-generation logic.
The resume flow supports candidate readiness because AI services such as score analysis, gap
analysis, cover letter generation, and resume generation require a resume or candidate profile context.
Mobile Dashboard and Job Workflow
The candidate dashboard organizes job activity into recommended jobs, saved jobs, added jobs,
and applied jobs. This allows candidates to manage the full job-search lifecycle from a mobile device.
Candidates can view job details, save jobs, apply to jobs, open external application links, and track
applied status. The app also supports candidate-side submission of recruiter screening questions
during the application process.
This creates a connected mobile workflow where job discovery, application preparation, screening
question response, and application tracking remain inside one app experience.
Mobile AI Tools
The mobile app includes AI tool access for resume generation, score checking, gap analysis, and
cover letter generation. These tools are exposed through app navigation and connect with backend
AI APIs.
Candidates can provide job-description text or upload a job-related file. The backend processes the
input and returns AI-generated outputs that can be displayed in the app. This makes AI-powered
career preparation available directly from the candidate phone.
The score checker helps candidates understand resume-job fit. Gap analysis highlights strengths,
weaknesses, missing skills, and improvement recommendations. Cover letter generation creates
personalized application content. Resume generation helps candidates create role-specific resume
outputs through the backend AI workflow.
Mobile Payments, Credits, and Usage Tracking
The app integrates Razorpay for mobile payments so candidates can buy credits and access paid AI
workflows. The mobile payment flow connects to backend order creation and payment verification
APIs.
Credits and AI usage history help candidates understand how they are using paid AI services. This
also allows Simplify Job Search to control AI cost and connect high-value AI features with
monetization.
PDF Preview, Download, and Document Access
The mobile app supports viewing and downloading resume documents using native file-handling
libraries. React Native PDF allows candidates to preview generated or uploaded PDF resumes, while
React Native FS and related utilities support file download and device storage workflows.
This is important because generated resumes must be usable immediately. Candidates need to
preview, download, and share their resume files from the same mobile environment where they
generated them.
Profile, Referrals, and Candidate Account Management
The profile area provides access to candidate profile details, resumes, job preferences, credit
purchase, refer-and-earn functionality, AI usage history, and logout.
This helps candidates manage their account, documents, credits, referrals, and AI usage from one
mobile profile section. The app therefore supports both the application journey and account
management journey.
4. Tech Used
The Simplify Job Search mobile app uses cross-platform mobile development, native authentication,
mobile navigation, API communication, document handling, PDF preview, payment integration, and
backend AI-service integration to deliver a candidate-only mobile career workflow.
Mobile Frontend and User Experience Stack
- React Native for building the cross-platform candidate mobile application for Android and iOS.
- React for creating reusable mobile UI screens, state-driven interface behavior, and candidate workflow components.
- TypeScript for type-safe mobile development and maintainable application logic.
- React Navigation Native Stack for managing screen-to-screen navigation across onboarding, job, profile, and AI tool flows.
- React Navigation Bottom Tabs for organizing the main candidate app sections into mobile-friendly tab navigation.
- React Native Screens for improving native navigation performance and screen rendering efficiency.
- React Native Safe Area Context for handling device safe areas, notches, and screen insets.
- React Native Gesture Handler for supporting reliable mobile gestures and navigation interactions.
- React Native Reanimated for supporting smooth animations and performance-oriented mobile UI behavior.
- React Native Linear Gradient for branded visual styling and modern mobile interface presentation.
- React Native Vector Icons for consistent iconography across dashboard, profile, jobs, and AI tool screens.
- Custom Poppins Fonts for maintaining consistent Simplify Job Search typography across the app.
- React Native Loader Kit for displaying loading indicators during API calls, file operations, and payment workflows.
- React Native Speedometer for visually presenting resume score and job-fit analysis results.
- React Native Date Picker for mobile-friendly date selection where candidate profile or resume forms require date input.
Authentication and Session Management Stack
- AsyncStorage for storing authentication tokens, onboarding state, candidate profile flags, and persistent mobile session data.
- Google Sign-In for allowing candidates to authenticate through Google accounts.
- React Native App Auth for supporting LinkedIn OAuth-based candidate login flow.
- JWT Decode for extracting identity and session-related information from backend-issued tokens.
- React Native Cookies for managing OAuth-related cookies and supporting cleaner login/logout behavior.
Backend API and Data Integration Stack
- Axios for calling Simplify Job Search backend APIs from the mobile app.
- REST API Integration for connecting mobile screens with candidate profiles, jobs, resumes, AI services, credits, payments, and application workflows.
- React Native Dotenv for managing environment-based API URLs and mobile configuration values.
- Simplify Job Search Backend API Layer for handling AI processing, resume operations, job data, payment verification, and candidate records outside the mobile app.
- JWT-Based API Authorization for protecting candidate-specific backend requests from the mobile client.
Document, Resume, and File Handling Stack
- React Native Document Picker for selecting resume files, job-description PDFs, and candidate-uploaded documents from the device.
- React Native PDF for previewing uploaded resumes, generated resumes, and PDF documents inside the app.
- React Native FS for downloading generated resumes and handling local file-system operations.
- React Native Blob Util for supporting file transfer, blob handling, and native document workflows.
- Clipboard Integration for copying generated cover letters and AI-generated text outputs.
- Mobile Storage Permission Handling for enabling safe file access and resume downloads on supported devices.
AI Service Integration Stack
- Backend AI APIs for exposing resume generation, score analysis, gap analysis, and cover letter generation to the mobile app.
- Azure OpenAI Provider Context for backend-driven AI generation used by mobile candidate workflows.
- Vertex AI and Gemini Provider Context for future AI-provider flexibility and backend-side AI model switching.
- Structured AI Output Handling for displaying resume score, gap analysis, cover letters, and generated resume results in mobile screens.
- Backend Document Extraction Context for processing resume and job-description PDFs or images before AI analysis.
- Backend LaTeX and PDF Generation Context for creating downloadable AI-generated resume documents consumed by the mobile app.
Payment and Monetization Stack
- React Native Razorpay SDK for enabling mobile credit purchase and paid candidate workflows.
- Razorpay Order Creation APIs for creating payment orders from the Simplify Job Search backend.
- Razorpay Payment Verification APIs for confirming successful payments and updating candidate credits or unlock state.
- Credit-Based Usage Tracking for controlling access to paid AI services and managing candidate AI consumption.
- AI Usage History APIs for showing candidates how their credits and AI services are being used.
Platform, Build, and Quality Stack
- React Native CLI for running, building, and managing the native mobile application.
- Metro Bundler for bundling JavaScript and TypeScript mobile app code during development and build workflows.
- Android Native Project for building and publishing the Android version of the Simplify Job Search mobile app.
- iOS Native Project for supporting future iOS app builds through Xcode and CocoaPods-based configuration.
- Babel for transpiling modern JavaScript and TypeScript syntax for the React Native runtime.
- ESLint for maintaining code quality and detecting frontend implementation issues.
- Prettier for keeping source formatting consistent across the mobile codebase.
- Jest for supporting unit testing and mobile code validation context.
- Node.js 20+ Environment for running the React Native toolchain and development scripts.
Cloud and Backend Support Stack
- Node.js Backend for serving candidate APIs used by the mobile app.
- Amazon DynamoDB for storing candidate profiles, resumes, job activity, credits, payments, and AI usage data consumed by the mobile app.
- Amazon S3 Bucket for storing uploaded resumes, generated resumes, and candidate document assets accessed from the mobile app.
- AWS EC2 for hosting backend services and production infrastructure connected to the mobile app.
- Docker for containerizing backend services that support mobile API workflows.
- Nginx for routing mobile API traffic through the production backend environment.
- CloudWatch and CloudWatch Agent for monitoring backend infrastructure, logs, and operational behavior for mobile-connected services.
5. Outcome / Business Value
The Simplify Job Search mobile app successfully extended the candidate-side platform into a
mobile-first career companion. It allowed candidates to access job search, resume management,
AI tools, payments, and profile workflows without depending only on the web application.
The mobile app created several business benefits:
- Expanded Simplify Job Search from a web-based product into a mobile-accessible candidate platform.
- Improved candidate convenience by allowing job search, resume upload, AI tools, and application tracking directly from mobile devices.
- Created a smoother onboarding journey through splash routing, login, terms, job preferences, resume upload, and dashboard access.
- Allowed candidates to use AI resume generation, score analysis, gap analysis, and cover letter generation from the mobile app.
- Improved job workflow visibility through recommended jobs, saved jobs, added jobs, and applied jobs sections.
- Supported candidate application workflows including recruiter screening-question responses from the mobile interface.
- Enabled mobile payments and credit purchases through Razorpay integration.
- Improved resume accessibility through mobile PDF preview, file download, and generated resume viewing.
- Reduced duplication by reusing the existing Simplify Job Search backend and AI services instead of rebuilding AI logic inside the app.
- Created a foundation for app-store distribution, stronger user retention, and future mobile-first feature expansion.
- Helped position Simplify Job Search as a complete AI-powered candidate ecosystem rather than only a browser-based resume tool.
The mobile app proves that AI-powered career workflows become more valuable when candidates
can access them on the device they use most often. It brings resume intelligence, job search,
application preparation, payments, and document access into one native mobile experience.
6. What Similar Companies Can Learn
Career-tech platforms, job portals, resume tools, recruitment marketplaces, and AI-powered
employability startups can learn several important lessons from the Simplify Job Search mobile app.
First, mobile apps should not be limited to basic job browsing. The strongest candidate apps
support the full job-search workflow, including onboarding, preferences, resumes, job tracking,
AI tools, payments, and document access.
Second, AI processing does not need to run directly on the device. A scalable mobile architecture
can keep AI, document extraction, resume generation, payment verification, and storage in the
backend while the app provides a clean native experience.
Third, onboarding state matters. Candidates should not be forced to repeat profile setup, job
preferences, and resume upload steps every time they open the app. Persistent mobile session
handling improves retention and usability.
Fourth, document handling is a major requirement for mobile career products. Candidates need to
upload resumes, preview PDFs, download generated files, and use job-description files without
leaving the app.
Fifth, monetization should be integrated into the user workflow. Mobile credit purchase, payment
verification, and AI usage history make paid AI features easier to access and easier to control.
Finally, candidate-side mobile apps create long-term value when they are connected to the full
platform. Simplify Job Search shows how a React Native app can reuse existing backend APIs, AI
services, cloud storage, and payment systems to deliver a complete mobile career companion.