What You'll do :

- Fine-tune and deploy LLMs, TTS, STT, and voice models for use in real-time conversations with millions of users.

- Convert unstructured, messy real-world audio/text data into clean, high-quality datasets for training and evaluation.

- Build inference pipelines optimized for low-latency, high-accuracy voice agents and multimodal interfaces.

- Work closely with infra and product teams to ship production-grade GenAI models with observability, fallback, and monitoring.

- Experiment with GANs, diffusion models, audio generation, and multimodal fusion to power next-gen AI agents.

- Own the full model lifecycle from research and training to deployment, testing, and iteration.

What we're Looking for :

- 5 to 10 years of hands-on experience in AI/ML roles, ideally in startups or product-driven teams.

- Strong grasp of LLM fine-tuning, instruction tuning, or pretraining techniques.

- Familiarity with TTS/STT systems, Whisper, Tacotron, VITS, or other open source models.

- Experience with multimodal architectures, generative audio, GANs, or diffusion-based models.

- Ability to work with real-world messy data, design training pipelines, and debug model failure modes.

- Fluency in frameworks like PyTorch, HuggingFace, TensorFlow, and ecosystem tools (ONNX, Triton, LangChain, etc.).

- Passion for building high-impact AI features that ship to real customers.

Requirements :

Why Join Us :

- Work at the cutting edge of LLMs, voice AI, and generative models and ship real products, not just prototypes.

- Directly impact millions of users by powering AI agents that help with hiring, learning, and career growth.

- Collaborate with a world-class team of AI engineers, researchers, and product minds who move fast and ship boldly.

- Freedom to explore: Own experiments, propose architecture, or contribute to foundational model training.

- Startup speed, enterprise scale best of both worlds. Rapid iteration and direct customer feedback.

- Multilingual India - first problems that push the boundaries of speech, reasoning, and personalization.