Top Tech Jobs & Startup Jobs

Build and maintain production-grade native Android applications using Kotlin, integrating AI capabilities such as chat, vision, voice, and recommendations through backend APIs. Design resilient real-time interfaces, optimize performance and battery usage, implement telemetry and logging, collaborate with ML and backend teams, and support secure Google Play Store releases.

Build and maintain high-performance native iOS applications using Swift and SwiftUI. Integrate AI and machine learning features through backend APIs, design resilient real-time interaction patterns, optimize performance and memory usage, collect telemetry for model evaluation, and collaborate with ML and backend teams. The role also owns production quality, App Store releases, reliability, and consumer-facing mobile experiences.

Build and maintain production-grade native Android applications using Kotlin, integrating AI capabilities such as chat, vision, voice, and recommendations. Design resilient real-time interfaces, optimize performance and battery usage, implement telemetry, collaborate with ML and backend teams, and support secure Google Play Store releases.

Build and operate scalable AI backend systems, including inference pipelines, orchestration workflows, APIs, and distributed microservices. Optimize latency, throughput, caching, batching, and response streaming while maintaining reliability, observability, and cost efficiency. Collaborate with client and machine learning engineers to deliver production AI features across mobile and desktop applications. The role requires Python or Node.js, Docker, Kubernetes, AI inference, commercial and self-hosted models, and distributed-system debugging experience.

Build and maintain production-grade native Android applications using Kotlin, integrating AI capabilities through backend APIs and on-device ML frameworks. Design resilient real-time interfaces, optimize performance and battery usage, implement telemetry and logging, collaborate with ML and backend teams, and support secure Google Play Store releases.

Build and maintain production-grade native iOS applications using Swift and SwiftUI, integrating AI and machine learning features through backend APIs. Design reliable real-time experiences with streaming, retries, graceful degradation, and failure recovery. Optimize performance, memory, and battery usage; collect telemetry for model evaluation; collaborate with ML and backend teams on architectures and API contracts; and support high-quality App Store releases.

Build and operate scalable backend systems powering AI features, including inference pipelines, orchestration workflows, caching, batching, and response streaming. Own observability, performance, reliability, alerting, and incident response for high-throughput distributed services. Collaborate with client and machine learning engineers to deliver stable, efficient APIs for mobile and desktop applications.

Build and maintain production-grade native iOS applications using Swift and SwiftUI. Integrate AI features through backend APIs, design resilient real-time user experiences, optimize performance and battery usage, collect telemetry, and collaborate with ML and backend teams. Ship reliable consumer-facing applications through the App Store while supporting graceful degradation, dynamic model responses, and on-device machine learning.

Build and operate scalable AI backend systems, including inference pipelines, orchestration workflows, distributed microservices, and production APIs. Own observability, system health, incident response, and performance optimization through caching, batching, and response streaming. Collaborate with client and machine learning engineers to deliver reliable, low-latency, cost-efficient AI features across mobile and desktop platforms.

Build and operate scalable AI backend systems, including inference pipelines, orchestration workflows, distributed microservices, caching, batching, and streaming. Own observability, reliability, latency, throughput, incident response, and API performance. Collaborate with client and machine learning engineers to deliver efficient AI-powered features across mobile and desktop applications.