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Sr. AI ENGINEERDEVELOPER (Remote)

CloudPSO Inc

Job Location:

Islamabad - Pakistan

Monthly Salary: Not provided by the employer

Experience Required: 5years

Posted: 6 September 2026 (4 hours ago)

Application Deadline: 4 December 2026

Vacancies: 1 Vacancy

Job Summary

This is a remote position.

Job timings: Mon - Fri US EST Time zone
Job Location: Pakistan (Remote)
Experience: 5 years

PRODUCT CONTEXT

CloudPSOs 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 lifecyclefrom 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.
Documentation: Document model architectures experiments evaluation results and deployment processes.
Code Quality: Participate in code reviews and maintain high engineering and reproducibility standards.

Requirements

PREFERRED SKILLS

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.

REQUIRED QUALIFICATIONS

Experience: 79 years of 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.
Frontend (Mandatory): Experience with React 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.