Senior AI/ML & Mobile Application Engineer (iOS/Android) - Remote

This is a remote position.

• Model Development: Design, train, and fine-tune models and pipelines for STT, NLU, and TTS use cases.
  
• MLOps: Build and maintain MLOps pipelines for model deployment, monitoring, and retraining.
  
• API Development: Develop APIs and services that expose AI capabilities to backend, frontend, and mobile applications.
  
• Performance Optimization: Collaborate with backend engineers to optimize inference performance and end-to-end latency.
  
• Mobile Application Development: Develop, enhance, and maintain applications for Android and iOS, including integration of AI/ML and Voice Agent capabilities.
  
• Mobile AI Integration: Integrate APIs, speech processing, real-time communication, and AI-powered functionality into mobile applications.
  
• Frontend Prototyping: Create frontend prototypes, dashboards, and demonstrations using a modern frontend framework.
  
• Research & Experimentation: Conduct research and controlled experiments to improve model accuracy, quality, and performance.
  
• Vendor Evaluation: Evaluate external models and providers against product requirements and measurable benchmarks.
  
• Documentation: Document model architectures, experiments, evaluation results, mobile integrations, and deployment processes.
  
• Code Quality: Participate in code reviews and maintain high engineering and reproducibility standards.
  

Requirements

• Experience: 7–9 years of relevant software engineering and AI/ML development experience.
  
• Programming: Strong Python expertise with experience in PyTorch, TensorFlow, Hugging Face, or equivalent frameworks.
  
• Speech & NLP: Hands-on experience with speech/audio processing and natural language processing techniques.
  
• Model Deployment: Hands-on deployment experience using ONNX, TensorRT, Triton, or equivalent tooling.
  
• Android Development: Hands-on experience developing Android applications using Kotlin and/or Java.
  
• iOS Development: Hands-on experience developing iOS applications using Swift and/or Objective-C.
  
• Mobile Integration: Experience integrating REST APIs, SDKs, authentication, real-time communication, and AI-powered services into mobile applications.
  
• Frontend (Mandatory): Experience with React, Vue.js, or Angular.
  
• Cloud AI Platforms: Experience with AWS SageMaker, GCP Vertex AI, Azure ML, or an equivalent cloud AI platform.
  
• Containerization: Knowledge of Docker and Kubernetes.
  
• Version Control & CI/CD: Experience with Git and continuous integration and delivery pipelines.
  
• Analytical Skills: Strong analytical and problem-solving skills.
  

• Experience with real-time streaming using WebSocket or WebRTC.
  
• Experience building voice-enabled or AI-powered Android/iOS applications.
  
• Experience with mobile audio capture, playback, streaming, and speech processing.
  
• Knowledge of model quantization, pruning, and inference optimization.
  
• Familiarity with SIP, WebRTC, or PSTN integration.
  
• Experience deploying or optimizing AI models for mobile or edge devices.
  
• Experience with mobile application deployment through the Apple App Store and Google Play Store.
  
• Open-source contributions or research publications in AI, speech, voice, or mobile technology.
  

Benefits

• Medical insurance
  
• Company gadgets
  
• Paid time off
  
• Stock options (ESOP)
  
• Competitive salary and benefits package.
  
• Opportunities for professional development and growth.
  
• Collaborative and innovative work environment.
  
• Chance to work on cutting-edge cloud projects.
  
• Supportive and inclusive company culture