Senior AI ENGINEER/DEVELOPER (Remote)
Senior AI engineer (remote from Pakistan, US EST hours) building CloudPSO's enterprise voice-agent platform: designs, trains, and deploys STT/NLU/TTS models, builds MLOps pipelines and inference APIs, optimizes latency, and creates frontend prototypes/dashboards. Core stack: Python, PyTorch/TensorFlow, cloud AI platforms, plus React/Vue/Angular.
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 7–9 years of AI/ML development experience
- Strong Python expertise with PyTorch, TensorFlow, Hugging Face, or equivalent frameworks
- Hands-on experience with speech/audio processing and NLP techniques
- Hands-on model deployment using ONNX, TensorRT, Triton, or equivalent tooling
- Frontend experience with React, Vue.js, or Angular (mandatory)
- Experience with AWS SageMaker, GCP Vertex AI, Azure ML, or an equivalent cloud AI platform
- Knowledge of Docker and Kubernetes
- Experience with Git and CI/CD pipelines
- Strong analytical and problem-solving skills
Nice to have
- Experience with real-time streaming using WebSocket or WebRTC
- Knowledge of model quantization, pruning, and inference optimization
- Familiarity with SIP, WebRTC, or PSTN integration
- Open-source contributions or research publications in AI, speech, or voice domains
Full description
This is a remote position.
Job timings: Mon - Fri US EST Time zone
Job Location: Pakistan (Remote)
Experience: 5+ years
PRODUCT CONTEXT
CloudPSO's first standardized AI Agent product enables enterprises to deploy intelligent voice assistants for customer support, sales, and internal operations. Its core capabilities include:
- Speech-to-Text (STT): Real-time voice transcription.
- Natural Language Understanding (NLU): Intent recognition, context awareness, and conversation control.
- Text-to-Speech (TTS): Natural, human-like voice responses.
- Enterprise Platform: Cloud-native deployment with scalability, low latency, security, observability, and enterprise-grade reliability.
We are looking for an experienced AI Engineer / Developer to join our product development team and drive the AI capabilities of this platform.
ROLE OVERVIEW
The AI Engineer will be responsible for designing, training, deploying, and optimizing AI/ML models that power the Voice Agent platform. This role spans the full AI lifecycle—from research and experimentation to production deployment and monitoring. The ideal candidate has deep expertise in speech and NLP technologies, strong engineering practices, and the ability to collaborate across backend, frontend, and infrastructure teams. Frontend development skills are mandatory, as this role includes building prototypes, dashboards, and internal demos.
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 and frontend systems.
- Performance Optimization: Collaborate with backend engineers to optimize inference performance and end-to-end latency.
- 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.