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 • Software
Provide technical customer support for the Fieldguide platform through email, phone, and chat. Troubleshoot and reproduce issues, collaborate with Engineering, guide customers through product features, support onboarding and retention, configure customer databases and templates, and maintain help documentation. The role also advocates for customer needs internally and contributes to beta feature feedback. This remote position requires working 9 a.m. to 6 p.m. GMT.
Top Skills:
MS Office
Artificial Intelligence • Software
Provide technical and product support to Fieldguide customers through email, phone, and chat. Troubleshoot platform issues, guide users on features and best practices, collaborate with Engineering, Product, and Design, support database setup and template creation, contribute to onboarding and retention, and maintain help documentation. The role requires a customer-focused, adaptable team player comfortable working remotely from 2pm to 11pm PT in a startup environment.
Top Skills:
MS Office
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Lead operational reliability and platform enablement for Databricks: build monitoring, CI/CD, deployment standards, compute and job policies, observability, runbooks, and governance to support secure, cost-aware, production data workloads across regulated environments. Mentor engineers and align platform with cloud/infrastructure and compliance requirements.
Top Skills:
Ci/CdDatabricksDatabricks Asset BundlesDatabricks WorkflowsDelta LakeInfrastructure-As-CodeService PrincipalsUnity CatalogVersion Control (Git)
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
