Hiring Full Stack Engineer (Node.js + React) with 26 yrs exp. Hands-on with APIs, frontend, cloud deployment, and 3rd-party integrations (Twilio, WhatsApp). Bonus: AI/LLM experience. Remote. Email [your email] to apply.
Founding Full Stack Engineer (Voice + AI CRM Platform) Gurgaon | Onsite | Full-time We're building a voice-first, multilingual AI assistant that works across calls, WhatsApp, web, and email , with deep integrations into CRM, LMS, and booking systems. Alongside, we're developing an agentic AI-powered CRM and Lead Management System to streamline sales, support, and engagement across industries like hospitality, Real Estate, BFSI, healthcare. As our Founding Full Stack Engineer , youll take ownership of the end-to-end architecture and development of this platform from building APIs and dashboards to integrating voice, AI, and messaging systems. Youll work closely with the founder and AI engineer to bring this vision to life. Location : Gurgaon, Work from Office. You can apply on below link or send your resume to contact@insybit.com https://docs.google.com/forms/d/e/1FAIpQLSd3VHkTj17-hPw3BgQVtATXWx5dzTXpwyy_E_xO15rtQkPmgw/viewform?usp=sharing&ouid=100047232028293343480 Role & responsibilities Design and develop scalable backend services using Node.js + Express or Python + FastAPI Design frontend systems (chat widget + admin dashboards+websites) using React + Tailwind Design & Build AI CRM with features like lead management, agent assignment, status tagging, history tracking, and analytics Build lead management workflows : submission, scoring, tagging, follow-ups via WhatsApp/email/Voice Integrate telephony or IVR platforms like Twilio, Exotel, or Ozontel for calls and voicebots. Create the technical architecture of the system. Design and develop database schema as per the requirement Integrate WhatsApp APIs (Gupshup or Twilio) and handle conversational workflows Collaborate with AI engineer to implement - GPT-4/Gemini-based conversation flows, Post-call analysis (Whisper/Gemini STT), Multilingual memory and tone detection logic. Design robust MongoDB/PostgreSQL schemas and APIs Deploy and manage infrastructure via AWS/GCP/Azure with CI/CD and observability Ensure high uptime, secure data handling, and fast responses across all channels Must have Skills: 36 years of full-stack development experience , preferably in startups or fast-paced teams Strong proficiency with Node.js/Express , React , MongoDB , REST APIs, and webhooks Experience building admin tools , internal CRMs, or customer-facing dashboards Deep understanding of database design , caching, and async workflows Hands-on with modern frontend (Tailwind, component libraries) Strong Experience with GitHub workflows, CI/CD pipelines , and cloud deployments on AWS/GCP/Azure Bonus: Experience working with OpenAI, Gemini, or other LLMs Experience integrating STT engines (e.g., Whisper, Google STT) or AI classifiers Redis or vector DB familiarity for user memory or personalization Prior work on chatbots, voicebots, or conversational flows Exposure to building or integrating LMS/CRM platforms Integrated telephony and whatsapp APIs like Twilio, Exotel, or Ozontel Preferred candidate profile If you're excited about building from scratch and shaping the future of AI-driven, voice-first CRM platforms , wed love to hear from you.
Responsibilities: * Set up & Manage multi channel (email, whatsapp, sms etc ) campaigns using NetCore/MoEngage/CleverTap * Build user journey, automation workflows and audience segments for user retention and engagement *Ensure data hygiene
* Set up & Manage multi channel (email, whatsapp, sms etc ) campaigns using NetCore/MoEngage * Build user journey, automation workflows and audience segments for customer lifecycle management *fill below form https://forms.gle/FoGtrTYJk9tbi2p68
Full-stack dev to build a custom CRM with lead tracking, agent workflows, and analytics. Must know Node.js, React, WhatsApp/telephony APIs, and deploy scalable, AI-integrated backend services. https://forms.gle/5azonzojZ3xqdTDi7 or call 8010545225
Responsibilities: * Design, develop & optimize voice AI solutions Hands on experience with voice AI solutions such as eleven labs/Livekit/Sarvam/Deepgram etc * Integration of voice AI with telephony, crm, whatsapp, sms, email Contact: 8010545225
Job Title: Voice AI Engineer Location: Gurgaon Company: Insybit Product: Oktivo Experience: 1–4 years Type: Full-time Role Overview We’re looking for a Voice AI Engineer who can design and scale Oktivo’s voice intelligence stack — from real-time speech pipelines to contextual LLM reasoning and telephony orchestration . You’ll help us move from API dependency to proprietary intelligence , shaping how our AI agents listen, learn, and act in live customer conversations. This is a founding-level engineering role — you’ll work directly with the founder and own the technical roadmap for voice orchestration, contextual memory, and RAG-powered decision-making. How to Apply Apply link : https://forms.gle/W7DgHHJaqgLxbZQw7 or alternative send an email to contact@insybit.com Subject: Voice AI Engineer — [Your Name] Include: LinkedIn / GitHub / Portfolio / Demo of any voice or LLM-based project. Key Responsibilities Architect, build, and optimize the Oktivo Voice AI pipeline (STT → LLM → TTS) for real-time conversational performance. Integrate and fine-tune speech and language models (Deepgram, ElevenLabs, Whisper, Gemini, Llama 3, etc.) for low-latency inference. Develop RAG pipelines using vector databases (Pinecone / Weaviate / FAISS) to connect call conversations, CRM data, and marketing intelligence in real time. Design Oktivo’s Context Memory Layer — persistent graph that stores conversation embeddings, user behavior, and campaign sources for contextual recall. Train, fine-tune, and evaluate custom LLMs (domain-specific) for voice intent recognition, tone analysis, and sales conversation optimization. Integrate with telephony systems (Twilio, Exotel, Kaleyra, SIP/WebRTC) and build scalable real-time call flows using LiveKit or WebRTC. Collaborate with backend engineers to sync conversational data with CRMs (Zoho, HubSpot, Salesforce) and marketing attribution systems. Optimize inference cost, caching, and latency for high throughput and enterprise-grade reliability. Continuously test and improve voice quality, emotion control, and multilingual naturalness. Required Skills 3+ years of experience in Speech AI / Conversational AI / Agentic Systems . Strong experience with STT/TTS pipelines — Deepgram, Whisper, ElevenLabs, Azure Speech, or custom acoustic models. Hands-on with RAG frameworks (LangChain, LlamaIndex) and vector databases (Pinecone, Weaviate, FAISS). Proficient with Python (FastAPI, LangChain) or Node.js for AI pipeline orchestration. Solid understanding of LLMs (OpenAI, Gemini, Claude, Llama 3) and experience training or fine-tuning domain-specific models. Experience integrating telephony systems (Twilio, Exotel, SIP/WebRTC/LiveKit). Experience in real-time streaming and low-latency architecture for conversational AI. Familiarity with cloud infrastructure ( GCP / AWS ) and GPU-based inference. Bonus Skills Prior work on voice bot orchestration or AI-powered contact center automation. Understanding of CRM data models , marketing attribution , or customer journey analytics. Knowledge of multi-turn dialog state management or reinforcement learning for conversational flow. Experience building offline caching or edge inference pipelines for cost optimization. What You’ll Build Oktivo Agentic Core: Context Memory + Decision Graph that powers our voice AI. Proprietary RAG Engine: Dynamic retrieval across CRM, marketing, and conversation datasets. Voice AI Telephony Layer: AI agent stack that connects to real users through phone calls, WhatsApp, and other channels. Why Join Oktivo Be part of the founding tech team building India’s first Voice-First Agentic CRM platform. Solve cutting-edge challenges in real-time speech + reasoning AI. Work with large enterprise clients in BFSI, Real Estate, and E-commerce. Own key IP in contextual memory, agentic actions, and voice orchestration. Competitive salary + ESOPs + mentorship from leading MarTech & AI advisors. Tech Stack AI: Deepgram • ElevenLabs • Whisper • Gemini • Llama 3 • LangChain • LlamaIndex Infra: Python • Node.js • FastAPI • GCP • Firebase • Postgres • Pinecone • Redis Telephony: Twilio • Exotel • WebRTC • LiveKit • SIP CRM Integrations: Salesforce • Zoho • HubSpot • Freshworks Job Type: Full-time Pay: ₹223,456.41 - ₹1,400,000.00 per year Application Question(s): What's your notice period? If already serving mention your last date What's your current CTC? * What's your expected CTC? Have you worked on Voice AI ( building TTS, STT Engine) Location: Gurugram, Haryana (Preferred) Work Location: In person
Job Title: Voice AI Engineer Location: Gurgaon Company: Insybit Product: Oktivo Experience: 1–4 years Type: Full-time Role Overview We’re looking for a Voice AI Engineer who can design and scale Oktivo’s voice intelligence stack — from real-time speech pipelines to contextual LLM reasoning and telephony orchestration . You’ll help us move from API dependency to proprietary intelligence , shaping how our AI agents listen, learn, and act in live customer conversations. This is a founding-level engineering role — you’ll work directly with the founder and own the technical roadmap for voice orchestration, contextual memory, and RAG-powered decision-making. How to Apply Apply link : https://forms.gle/W7DgHHJaqgLxbZQw7 or alternative send an email to contact@insybit.com Subject: Voice AI Engineer — [Your Name] Include: LinkedIn / GitHub / Portfolio / Demo of any voice or LLM-based project. Key Responsibilities Architect, build, and optimize the Oktivo Voice AI pipeline (STT → LLM → TTS) for real-time conversational performance. Integrate and fine-tune speech and language models (Deepgram, ElevenLabs, Whisper, Gemini, Llama 3, etc.) for low-latency inference. Develop RAG pipelines using vector databases (Pinecone / Weaviate / FAISS) to connect call conversations, CRM data, and marketing intelligence in real time. Design Oktivo’s Context Memory Layer — persistent graph that stores conversation embeddings, user behavior, and campaign sources for contextual recall. Train, fine-tune, and evaluate custom LLMs (domain-specific) for voice intent recognition, tone analysis, and sales conversation optimization. Integrate with telephony systems (Twilio, Exotel, Kaleyra, SIP/WebRTC) and build scalable real-time call flows using LiveKit or WebRTC. Collaborate with backend engineers to sync conversational data with CRMs (Zoho, HubSpot, Salesforce) and marketing attribution systems. Optimize inference cost, caching, and latency for high throughput and enterprise-grade reliability. Continuously test and improve voice quality, emotion control, and multilingual naturalness. Required Skills 3+ years of experience in Speech AI / Conversational AI / Agentic Systems . Strong experience with STT/TTS pipelines — Deepgram, Whisper, ElevenLabs, Azure Speech, or custom acoustic models. Hands-on with RAG frameworks (LangChain, LlamaIndex) and vector databases (Pinecone, Weaviate, FAISS). Proficient with Python (FastAPI, LangChain) or Node.js for AI pipeline orchestration. Solid understanding of LLMs (OpenAI, Gemini, Claude, Llama 3) and experience training or fine-tuning domain-specific models. Experience integrating telephony systems (Twilio, Exotel, SIP/WebRTC/LiveKit). Experience in real-time streaming and low-latency architecture for conversational AI. Familiarity with cloud infrastructure ( GCP / AWS ) and GPU-based inference. Bonus Skills Prior work on voice bot orchestration or AI-powered contact center automation. Understanding of CRM data models , marketing attribution , or customer journey analytics. Knowledge of multi-turn dialog state management or reinforcement learning for conversational flow. Experience building offline caching or edge inference pipelines for cost optimization. What You’ll Build Oktivo Agentic Core: Context Memory + Decision Graph that powers our voice AI. Proprietary RAG Engine: Dynamic retrieval across CRM, marketing, and conversation datasets. Voice AI Telephony Layer: AI agent stack that connects to real users through phone calls, WhatsApp, and other channels. Why Join Oktivo Be part of the founding tech team building India’s first Voice-First Agentic CRM platform. Solve cutting-edge challenges in real-time speech + reasoning AI. Work with large enterprise clients in BFSI, Real Estate, and E-commerce. Own key IP in contextual memory, agentic actions, and voice orchestration. Competitive salary + ESOPs + mentorship from leading MarTech & AI advisors. Tech Stack AI: Deepgram • ElevenLabs • Whisper • Gemini • Llama 3 • LangChain • LlamaIndex Infra: Python • Node.js • FastAPI • GCP • Firebase • Postgres • Pinecone • Redis Telephony: Twilio • Exotel • WebRTC • LiveKit • SIP CRM Integrations: Salesforce • Zoho • HubSpot • Freshworks Job Type: Full-time Pay: ₹223,456.41 - ₹1,400,000.00 per year Application Question(s): What's your notice period? If already serving mention your last date What's your current CTC? * What's your expected CTC? Have you worked on Voice AI ( building TTS, STT Engine) Location: Gurugram, Haryana (Preferred) Work Location: In person