[Hiring] Senior AI Engineer/Developer @CloudPSO Inc

Role Description

This is a remote position.

Job timings: Mon - Fri US EST Time zone

Job Location: Pakistan (Remote)

Experience: 5+ years

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.

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.

Qualifications

• Experience: 7–9 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, 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.

Requirements

• 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.

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