Artificial Intelligence Engineer

We are building next-generation real-time voice AI solutions that combine Text-to-Speech (TTS), Speech-to-Text (STT), Large Language Models (LLMs), and Speech-to-Speech (S2S) intelligence. Our mission is to create highly interactive and human-like AI agents for global use cases in communication, customer experience, and automation.

We are looking for self-motivated, innovative, and hands-on AI/ML Engineers to join our growing team.

• Research, design, and implement TTS models (primary focus), with strong emphasis on naturalness, prosody, and real-time synthesis.
• Work with STT pipelines to enable accurate, low-latency transcription in noisy and multi-lingual environments.
• Integrate and fine-tune LLMs for conversational AI and dialogue management.
• Build and optimize Speech-to-Speech (S2S) models by combining STT LLM TTS pipelines and/or direct end-to-end approaches.
• Optimize models for latency, scalability, and deployment in production environments (cloud + edge).
• Collaborate with product, research, and engineering teams to design APIs, SDKs, and scalable infrastructure.
• Stay updated with cutting-edge research in speech AI and apply it to production-ready systems.

• Proven hands-on experience with TTS models (e.g., Tacotron, FastSpeech, VITS, F5-TTS, VALL-E, or other neural TTS systems).
• Strong background in Deep Learning, NLP, and Speech Processing.
• Experience with STT systems (e.g., Whisper, Deepgram, Wav2Vec2, Kaldi, or similar).
• Familiarity with LLMs (OpenAI, LLaMA, Mistral, or custom fine-tuned models).
• Solid programming skills in Python and frameworks like PyTorch / TensorFlow.
• Experience deploying models in real-time production systems (e.g., Docker, Kubernetes, REST/gRPC APIs).
• Strong problem-solving skills, self-motivation, and ability to work in a fast-paced, team-driven startup environment.

• Experience with speech enhancement, voice cloning, or emotion modeling.
• Knowledge of multi-lingual or code-switching (Hinglish, etc.) speech systems.
• Familiarity with GPU optimization, quantization, model distillation, or edge deployment.
• Publications or contributions to open-source AI/ML projects.

• Opportunity to work on cutting-edge speech AI with real-world impact.
• Fast-growing startup environment with ownership and innovation freedom.
• Competitive compensation, ESOPs, and performance-based rewards.
• Collaborative, motivated, and research-driven team culture.