Mobile access to the candidate workflow
The mobile application extends the candidate workflow beyond the desktop web experience.
Internal mobile product case study
Mobile Career Companion
A mobile first career companion for job discovery, resume services, payments and candidate workflows.
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.
Project classification: This internal Byond Boundrys product module is part of the Simplify Job Search platform.
A smoother onboarding and preference journey
Onboarding, job preferences and resume setup are organised into one mobile journey.
AI resume services available on the go
Candidates can access resume analysis, generation and cover letter tools from the app.
01 / Business context
Who needed the solution
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.
02 / Challenge
What needed to change
The candidate job search journey is increasingly mobile, but many career tools still depend heavily on desktop interfaces, manual resume handling, and fragmented workflows.
Candidates discovered jobs on mobile but needed desktop tools to continueCandidates often discover jobs on mobile but cannot easily complete resume analysis, AI document generation, or application workflows from the same device.
Authentication and onboarding required several stepsThe app needed persistent session handling so candidates do not repeatedly log in or repeat onboarding steps.
Resume services were not consistently available on the goAI services require payment, credit usage, and usage history visibility so candidates can understand and control their spending.
Job preferences and application activity needed one viewJob application flows may include recruiter screening questions, and candidates need an easy way to answer them from the app.
Payments had to work inside the mobile journeyThe mobile system had to connect reliably with existing Simplify Job Search backend APIs without duplicating business logic inside the app.
03 / Workflow transformation
Before and after
Previous workflow
- Candidates discovered jobs on mobile but needed desktop tools to continue
- Authentication and onboarding required several steps
- Resume services were not consistently available on the go
- Job preferences and application activity needed one view
- Payments had to work inside the mobile journey
Structured workflow
- Authenticate and onboard candidates
- Capture job preferences
- Manage job discovery and activity
- Deliver mobile AI services
- Review structured outputs
04 / Solution
How we approached it
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.
Authenticate and onboard candidates
Support mobile sign in, consent and profile setup.
Capture job preferences
Store desired roles, locations and job search intent.
Manage job discovery and activity
Present relevant jobs and candidate workflow information.
Deliver mobile AI services
Connect resume tools, uploads, payments and backend AI services within the app.
05 / Example workflow
From input to reviewable output
1Authenticate and onboard candidates
2Capture job preferences
3Manage job discovery and activity
4Deliver mobile AI services
5Review AI outputs
6Candidate action
06 / Delivery scope
What the delivery covered
Business and product workflow
- Candidate Onboarding and Session Flow
- Mobile Authentication
- Job Preference and Candidate Personalization
AI, data and automation
- Google Gemini
- Azure OpenAI
Application and cloud engineering
- React
- React Native
- Node.js
- DynamoDB
- AWS
- Docker
- Nginx
Scope boundary
The page covers the mobile candidate workflow. Only released platform features and current payment or notification behaviour should be shown publicly.
07 / Architecture and controls
How the system is organised
Google Gemini
Azure OpenAI
React
React Native
Node.js
DynamoDB
AWS
Docker
Authenticated mobile access
Candidate sessions and account data are protected through the application authentication flow.
Payment and entitlement controls
Paid AI services are unlocked only after the relevant payment and entitlement checks.
Data and notification controls
Candidate preferences, activity and device notification data follow defined product permissions.
Current feature boundary
Only released Android/iOS and AI capabilities should be shown as available.
08 / Business value
Value observed during validation
1Pilot observed
Mobile access to the candidate workflow
The mobile application extends the candidate workflow beyond the desktop web experience.
2Pilot observed
A smoother onboarding and preference journey
Onboarding, job preferences and resume setup are organised into one mobile journey.
3Pilot observed
AI resume services available on the go
Candidates can access resume analysis, generation and cover letter tools from the app.
4Pilot observed
Unified job and application visibility
Payment and entitlement flows support controlled access to paid AI services.
5Pilot observed
A payment enabled mobile product foundation
Mobile notifications and activity views keep job search tasks accessible while users are away from a desktop.
09 / Technology
Every component, with its role in the delivery.
Technology choices from the supplied project brief, mapped to the workflow each component supports.
Google Gemini
Structured extraction, reasoning or generation
Azure OpenAI
Managed LLM inference and reasoning
React
Reviewer or product user interface
React Native
Cross platform mobile application
Node.js
Backend and integration services
DynamoDB
Scalable application and workflow data
AWS
Cloud infrastructure and managed services
Docker
Containerised deployment
Nginx
Reverse proxy and production serving
Vertex AI
Managed Gemini and AI model integration
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