Mobile App Developer - AI-Enabled Products

Talent Network Notice: This listing supports our ongoing worldwide talent pipeline for upcoming projects and future opportunities. It may not represent an immediate vacancy. Suitable candidates may be contacted when a relevant project becomes available.

Role Overview

We are interested in extending AI-assisted career experiences to mobile devices in a way that feels native, fast and dependable. As a Mobile App Developer, you may build candidate-focused mobile experiences that connect securely to our existing platform and support profiles, CV workflows, jobs, notifications and AI-enabled features.

What You'll Do

• Build and maintain cross-platform or native mobile features for iOS and Android.
• Integrate mobile experiences with secure APIs, authentication, profile data, jobs and application workflows.
• Implement AI-assisted product features with careful attention to latency, error handling and user trust.
• Optimize performance, responsiveness, caching and network behaviour for real mobile conditions.
• Implement notifications, deep links, analytics and app lifecycle behaviours where appropriate.
• Write maintainable code, automated tests and release documentation.
• Collaborate with design and backend teams to deliver consistent experiences across web and mobile.

What We're Looking For

• Production experience with React Native, Flutter, Swift/Kotlin or another modern mobile stack.
• Strong understanding of mobile application architecture, state management and API integration.
• Experience with authentication, secure local storage and common mobile security practices.
• Ability to debug performance, device-specific and network-related issues.
• Experience with source control, testing and release workflows.
• Good understanding of responsive/mobile UX and platform conventions.
• Ability to work independently and communicate technical decisions clearly.

Nice to Have

• App Store / Google Play release experience.
• Push notifications, deep linking, offline-first or background-task experience.
• AI/LLM integration or on-device inference experience.
• Experience with career, productivity, SaaS or marketplace applications.

How We Work & What We Value

• Take ownership — raise risks early, follow through on commitments and care about the final result.
• Communicate clearly — remote work depends on useful updates, good documentation and respectful collaboration.
• Keep learning — we expect tools, AI capabilities and product requirements to keep changing.
• Solve the real problem — challenge unnecessary complexity and suggest better approaches when you see them.
• Respect users and their data — career information is sensitive and should be handled responsibly.
• Work pragmatically — quality matters, but so do prioritization, iteration and delivering useful outcomes.

Engagement Details

| | | |---|---| | Work model | Worldwide remote. | | Engagement | Contract, project-based, hourly or another flexible arrangement depending on the project. | | Experience | We may consider junior, mid-level and senior professionals depending on the scope of the opportunity. | | Start timing | Upcoming projects and future opportunities; timing varies by project. | | Compensation | Role- and project-specific. Scope, rate/compensation, expected availability and deliverables are agreed before an engagement begins. | | Working pattern | Flexible where practical. Some projects may require agreed overlap hours, meetings, milestones or response windows. |

How to Apply

1. Click Apply Now on the job page.
2. Complete or review your candidate profile.
3. Upload your current CV, or create/improve one using our free CV Builder if you need an updated version.
4. Review your skills, experience and other application information, then submit your application.

Application review: We may use structured profile information and automated tools to help organize or evaluate applications. Automated scores or matching signals are supportive inputs only and do not guarantee an interview, project assignment or employment. Final decisions depend on the requirements of the relevant opportunity and appropriate review.

Equal Opportunity & Privacy

We welcome qualified professionals from different backgrounds and locations. We evaluate candidates based on relevant skills, experience, project requirements and suitability. Please submit only information you are comfortable using for recruitment and talent-network purposes, in line with our applicable privacy terms and your profile preferences.