AI ML Engineer

Job Description:

We are building the next-gen AI-native, multilingual, Omni channel communication platform for emerging markets. We are looking for a hands-on AI/ML & Data Engineering Lead who will own and deliver critical components of our agent assist stack — including Whisper/STT, LangChain-based summarization, emotion tagging, GPT integration, and scalable data pipelines. This is a foundational role blending applied machine learning, LLM integration, and modern data engineering to drive real-time decisioning and automation across the platform.

Key Responsibilities

🔹 AI/ML + LLM/NLP
• 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 real-time assist layer
• Build and maintain inference pipelines using FastAPI, Docker, 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)

🔹 Collaboration & Leadership
• Work closely with Product, Engineering, and UX to deliver features that directly 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

Required Skills & Qualifications
• Total experience of 10-12 years
• 5 years of experience in ML/AI/Data Engineering with exposure to LLMs and production-grade pipelines
• Hands-on with Whisper, LangChain, HuggingFace, or similar frameworks
• Solid Python (FastAPI preferred), SQL/PostgreSQL, and experience with RESTful APIs
• Proven experience with CI/CD, Docker, K3s/Kubernetes, Redis, Kafka/RabbitMQ
• Strong understanding of NLP/STT/TTS, summarization, and emotion tagging
• Ability to work in startup-paced environments with ownership mindset

Bonus Skills
• 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 agents across India and Oversees
• Build with purpose — multilingual, affordable, fast-deploy SaaS platform for emerging markets
• Work with modern tech: GPT, Whisper, LangChain, WebRTC, React, FastAPI
• Equity + flexible remote working + startup velocity