About the Role :

This is a foundational role blending applied machine learning, LLM integration, and modern data engineering to drive real-time decisioning and automation across our AI-native dialer platform. You'll lead the build-out of voice AI, agent assist, and multilingual LLM features for contact centers.

Key Responsibilities :

- Lead implementation of LLM-based features summarization, sentiment detection, auto-disposition, escalation tagging

- Fine-tune and evaluate models (Whisper, GPT, HuggingFace, Rasa) for vernacular (Indian) language support

- Build and deploy LangChain pipelines for prompt engineering, QA tagging, and agent assist

- Prototype emotion recognition, contextual agent replies, and a real-time assist layer

- Build and maintain inference pipelines using FastAPI, Docker, and Kubernetes

- Integrate AI modules into core product features (Dialer, CRM sync, IVR)

- Optimize model latency and deployment strategy for high-concurrency environments

- Architect scalable data pipelines using PostgreSQL, Redis, and Kafka

- Build ETL/ELT workflows to support real-time analytics, dashboards, and feedback loops

- Maintain secure, compliant data storage, retrieval, and access control pipelines (DPDP, GDPR-ready)

- Work closely with Product, Engineering, and UX to deliver features that impact agent productivity

- Guide junior ML and data engineers; define and enforce coding/data standards

- Contribute to AI strategy, model governance, and data infrastructure roadmap

Requirements :

- 615 years of total experience

- Agentic AI and Voice Bot development experience mandatory

- 3+ years in AI with exposure to LLMs and production-grade pipelines

- Hands-on with Whisper, LangChain, HuggingFace, or similar frameworks

- Solid Python (FastAPI preferred), SQL/PostgreSQL, and RESTful API experience

- Proven experience with CI/CD, Docker, K3s/Kubernetes, Redis, and Kafka/RabbitMQ

- Strong understanding of NLP/STT/TTS, summarization, and emotion tagging

- Comfortable working in startup-paced environments with an ownership mindset

Good to Have :

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

- Exposure to Rasa, Coqui TTS, or OpenWA integrations

- Prior work in SaaS/Contact Center/Dialer/CRM ecosystems

- Familiarity with speech emotion recognition or agent coaching models

Why Join Us :

- Shape the AI-native dialer experience for agents across India and overseas

- Build with purpose a multilingual, affordable, fast-deploy SaaS platform for emerging markets

- Work with modern tech : GPT, Whisper, LangChain, WebRTC, React, FastAPI