- Build and deploy AI-powered features using LLMs for summarization, sentiment analysis, auto-disposition, and agent assistance.

- Develop Agentic AI and Voice Bot solutions with LangChain, Whisper, Hugging Face, and similar frameworks.

- Design scalable ML inference pipelines using Python (FastAPI), Docker, Kubernetes, Redis, Kafka, and PostgreSQL.

- Integrate AI capabilities with Dialer, CRM, and IVR platforms.

- Optimize model performance, latency, and production deployment.

- Build real-time data pipelines and collaborate with Product & Engineering teams to deliver AI-driven features.

Required Skills :

- 6 -15 years of experience with 3+ years in AI/ML.

- Mandatory : Agentic AI and Voice Bot development experience.

- Strong hands-on experience with LLMs, LangChain, Whisper, Hugging Face, and NLP.

- Proficiency in Python (FastAPI), SQL/PostgreSQL, REST APIs.

- Experience with Docker, Kubernetes, CI/CD, Redis, Kafka/RabbitMQ.

- Exposure to speech technologies (STT/TTS), summarization, and emotion detection.

Good to Have :

- Experience with multilingual AI models (Hindi, Tamil, Bengali).

- Knowledge of Rasa, Coqui TTS, or similar voice AI frameworks.

- Prior experience in SaaS, Contact Center, Dialer, or CRM products.

- This role is ideal for engineers passionate about building production-grade AI systems and next-generation conversational AI solutions in a fast-paced product environment.