Principal AI/ML Engineer
Gurugram • Full-time
We are building the next-gen AI-native, multilingual, omnichannel 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.
Responsibilities:
- Lead implementation of LLM-based features including summarization, sentiment detection, auto-disposition, and escalation tagging
- Fine-tune and evaluate models such as Whisper, GPT, HuggingFace, and Rasa for multilingual (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 capabilities
- Build and maintain inference pipelines using FastAPI, Docker, and Kubernetes
- Integrate AI modules into core product features including Dialer, CRM Sync, and IVR
- Optimize model latency and deployment strategies for high-concurrency environments
- Architect scalable data pipelines using PostgreSQL, Redis, and Kafka
- Develop ETL/ELT workflows for real-time analytics, dashboards, and feedback loops
- Maintain secure, compliant data storage, retrieval, and access control pipelines (DPDP & GDPR-ready)
- Collaborate with Product, Engineering, and UX teams to deliver AI-powered features
- Guide junior ML and Data Engineers while defining coding and data standards
- Contribute to AI strategy, model governance, and data infrastructure roadmap
Requirements:
- 10-12 years of total professional experience
- Minimum 5 years of experience in AI/ML/Data Engineering with exposure to LLMs and production-grade pipelines
- Hands-on experience with Whisper, LangChain, HuggingFace, or similar AI frameworks
- Strong Python (FastAPI preferred), SQL/PostgreSQL, and REST API development skills
- Experience with CI/CD, Docker, Kubernetes/K3s, Redis, and Kafka/RabbitMQ
- Strong understanding of NLP, STT, TTS, summarization, and emotion tagging
- Ability to work in a fast-paced startup environment with an ownership mindset
Bonus Skills:
- Experience with multilingual AI models (Hindi, Tamil, Bengali)
- Exposure to Rasa, Coqui TTS, or OpenWA integrations
- Previous experience in SaaS, Contact Center, Dialer, or CRM platforms
- Familiarity with speech emotion recognition or agent coaching models
Benefits:
- Shape the AI-native dialer experience for agents across India and overseas
- Build a multilingual, affordable, fast-deploy SaaS platform for emerging markets
- Work with modern technologies including GPT, Whisper, LangChain, WebRTC, React, and FastAPI
- Equity opportunities
- Flexible remote working
- Startup culture with high ownership and fast execution