Sr.AI ML Engineer For Product Development Organization

AI/ML- Engineer

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

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Required Skills & Qualifications

Total experience of 8+ years

• Min 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

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, FastAPRole & responsibilities

Preferred candidate profile