Senior AI Engineer/Developer
Posted 1ds ago
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Job Description
AI Engineer developing CloudPSO’s enterprise voice-agent platform for support, sales, and operations. Building speech, NLP, MLOps, APIs, and frontend prototypes.
Responsibilities:
- Design, train, and fine-tune models and pipelines for STT, NLU, and TTS use cases
- Build and maintain MLOps pipelines for model deployment, monitoring, and retraining
- Develop APIs and services exposing AI capabilities to backend and frontend systems
- Collaborate with backend engineers to optimize inference performance and end-to-end latency
- Create frontend prototypes, dashboards, and demonstrations using a modern frontend framework
- Conduct research and controlled experiments to improve model accuracy, quality, and performance
- Evaluate external models and providers against product requirements and measurable benchmarks
- Document model architectures, experiments, evaluation results, and deployment processes
- Participate in code reviews and maintain high engineering and reproducibility standards
- Design, deploy, optimize, and monitor AI/ML models powering the Voice Agent platform
Requirements:
- 7–9 years of AI/ML development experience
- Strong Python expertise with experience in PyTorch, TensorFlow, Hugging Face, or equivalent frameworks
- Hands-on experience with speech/audio processing and natural language processing techniques
- Hands-on deployment experience using ONNX, TensorRT, Triton, or equivalent tooling
- Experience with React, Vue.js, or Angular; frontend development is 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 continuous integration and delivery pipelines
- Strong analytical and problem-solving 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
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















