Mobile AI Talent
Mobile AI developers combine mobile engineering with machine learning to build apps that see, hear, and understand — all running on-device for speed and privacy. From fitness apps with pose detection to retail apps with visual search, these specialists bridge the gap between ML models and mobile experiences.
Every mobile ai developer we place has been vetted for production-level expertise across these core competencies.
Mobile AI requires understanding model optimization (quantization, pruning), platform-specific ML frameworks (CoreML, TensorFlow Lite), and the constraints of mobile hardware. These developers make ML models run fast and efficiently on phones — a skill set that's distinct from both mobile development and ML engineering.
Real-time pose estimation and exercise form analysis using on-device models for instant feedback.
Camera-based product search — snap a photo, find similar items in the catalog using on-device image embeddings.
Voice AI interface with on-device speech recognition and text-to-speech for hands-free mobile interaction.
Every Mobile AI developer passes our multi-stage assessment: Mobile AI-specific coding challenges, system design review, code quality audit, and cultural fit evaluation. Only the top 3% of applicants make it through. You interview pre-qualified mobile ai developers — not resumes.
We present 2-3 qualified mobile ai developers within 48 hours of your request. Our network includes 50+ Mobile AI specialists with 3+ years average experience — no waiting weeks for recruiters to source candidates.
Our mobile ai developers join your Slack, your standups, and your Mobile AI codebase. They follow your coding standards, use your CI/CD pipeline, and attend your sprint ceremonies — fully embedded in your engineering team from day one.
We're not just a staffing agency — we've built 23+ production products including Agiled, Chatsy, and Morphed. Our mobile ai developers bring that hands-on Mobile AI production experience to your team, not just textbook knowledge.
Only 3% of applicants make it through. Every mobile ai developer we place has passed all four stages.
We review Mobile AI project history, GitHub contributions, open-source work, and production deployments to verify hands-on Mobile AI experience.
Timed coding challenges covering CoreML (iOS), TensorFlow Lite (Android), On-Device ML Inference — plus system design problems that test real-world Mobile AI architecture decisions.
A 60-minute live coding session where candidates build a feature using Mobile AI alongside our senior engineers — testing code quality, debugging skills, and communication.
Soft skills evaluation focused on async communication, sprint collaboration, and the ability to integrate into your existing engineering team from day one.
Choose the model that fits your project needs. No long-term contracts — scale up or down as your project demands.
A mobile ai developer works exclusively on your project, 40 hours/week. Best for ongoing product development and long-term projects.
20 hours/week of dedicated mobile ai development. Ideal for startups, maintenance, or projects that don't need full-time capacity.
Fixed-scope mobile ai development with a defined timeline and deliverables. Best for specific features, migrations, or MVPs.
Multiple mobile ai developers join your existing team. Best for scaling quickly when you need to ship faster.
Beyond hiring mobile ai developers, we offer these related services:
Common questions about hiring mobile ai developers
We present 2-3 pre-vetted mobile ai developers within 48 hours. After you interview and select, developers can start within 3-5 business days.
Get matched with pre-vetted mobile ai developers in 48 hours. No long-term contracts. Replacement guarantee.