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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.

• 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

+8 more responsibilities

We are building the next-generation AI-native, multilingual, omnichannel communication platform for emerging markets. We are looking for a hands-on AI/ML Engineer with strong Python, NLP/LLM, speech AI, and data engineering skills to contribute to our agent assist stack, including Whisper/STT, LangChain-based summarization, emotion tagging, GPT/LLM integration, and scalable data pipelines. This role is ideal for someone who has worked on production-grade AI/ML systems and wants to build real-time AI features for contact centers, dialers, CRM platforms, and customer engagement systems.

• Implement LLM-based features including call summarization, sentiment detection, auto-disposition, escalation tagging, QA tagging, and agent assist prompts
• Work with Whisper and other Speech-to-Text (STT) models for multilingual transcription
• Support model evaluation and fine-tuning for Indian languages such as Hindi, Tamil, Bengali, Marathi, and other regional languages
• Build and maintain LangChain-based pipelines for prompt engineering, summarization, QA, and agent assist use cases
• Prototype emotion recognition, contextual agent reply suggestions, real-time agent assist, and call quality analysis

+12 more responsibilities

We’re building an AI-native omnichannel dialer platform to transform how businesses engage with customers. Our platform integrates voice, SMS, email, and chat to deliver seamless customer interactions. We are looking for a skilled Backend Engineer with expertise in Node.js and telephony/IVR systems to design, develop, and maintain scalable, secure, and intelligent backend solutions for our communication platform.

• Design, develop, and maintain backend services using Node.js
• Build RESTful APIs for scalable backend services
• Optimize PostgreSQL and Redis data flow
• Integrate telephony APIs for outbound and inbound calling, SMS, and other communication channels
• Design and implement IVR flows, call routing, and automation features

+5 more responsibilities

We are looking for a highly skilled Senior Full Stack Engineer to support the Engineering Lead in building and delivering core MVP features for a scalable communication and CRM-integrated platform. The ideal candidate should have strong expertise in both frontend and backend development, API integrations, real-time systems, and cloud infrastructure.

• Develop and maintain scalable frontend and backend applications
• Build MVP features such as login/authentication, call routing, dashboard integration, and ticketing systems
• Work on CRM synchronization and WhatsApp integration (OpenWA)
• Design, develop, and integrate REST APIs and third-party services
• Collaborate with Product, Design, and Engineering teams to deliver high-quality features

+3 more responsibilities