Design, train, deploy, monitor, and optimize speech and NLP models for a voice-agent platform. Build MLOps pipelines, APIs, and inference services while developing Android and iOS applications that integrate AI, voice, real-time communication, and backend services. Create frontend prototypes and dashboards, conduct model experiments, evaluate vendors, optimize performance, document systems, and maintain engineering quality across collaborative teams.
This is a remote position.
Job timings: Mon - Fri US EST time zone
Job Location: Pakistan (Remote)
Experience: 5+ years
ROLE OVERVIEW
We are looking for a Senior AI/ML & Mobile Application Engineer (iOS/Android) responsible for designing, training, deploying, and optimizing AI/ML models that power our Voice Agent platform, while also contributing to the development and integration of Android and iOS applications.
This role spans the full AI lifecycle—from research and experimentation to production deployment and monitoring—and requires hands-on mobile application development experience. The ideal candidate will have deep expertise in speech and NLP technologies, strong engineering practices, and experience integrating AI-powered capabilities into mobile applications.
The role requires collaboration across backend, frontend, mobile, and infrastructure teams. Frontend and mobile application development experience are mandatory, as the position includes building prototypes, dashboards, internal demos, and production-ready mobile experiences.
KEY RESPONSIBILITIES
- 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.
PREFERRED 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
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build and maintain scalable native Android and backend software, owning features from design through testing and delivery. Collaborate with product owners, apply software engineering best practices, enhance existing products, develop new capabilities, and contribute to intuitive, customizable customer experiences. The role also involves using AI productivity tools, applying modern UI frameworks, managing technical risk, and mentoring colleagues through knowledge sharing.
Top Skills:
Android FrameworkAngularClaude CodeCodexCoroutinesDaggerDevinGlideJavaJavaScriptKotlinReactRxjavaVue
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Leads a regional CRM sales organization focused on new business growth, territory strategy, pipeline generation, forecasting, quota achievement, and customer expansion. Recruits, coaches, and manages Sales Executives while partnering with Sales Operations, Marketing, Professional Services, Solution Consulting, business units, and partners. Builds executive-level customer relationships, supports opportunity development and closing, and drives strategic sales execution across the manufacturing sector.
Top Skills:
Artificial IntelligenceCRMServicenow
Healthtech • Insurance • Sales • Software
Lead a team of software engineers building and scaling Spark’s broker productivity platform. Responsibilities include architecting full-stack solutions, guiding technical direction, reviewing code, managing infrastructure priorities, coordinating product planning, sequencing projects, coaching engineers, hiring, and ensuring reliable, high-quality delivery. The role balances hands-on engineering with people management and is fully remote within the United States.
Top Skills:
Automated TestingAWSCeleryContinuous DeploymentDjangoGitJavaScriptObservabilityPostgresPythonReactRedisVue
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
