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Hotelzify
Hotelzify cover picture
Founded :
2023
Type :
Product
Size :
0-20
Stage :
Bootstrapped

About

Hotels love us because we help them improve revenue and profits, secure more bookings through our AI ad engine, and create and update campaigns across platforms (Google, Facebook, Instagram) based on real-world trends and patterns. We optimize ad spend for them. Our unique AI-Backed Ads Engine doubles (2X) the number of direct bookings and triples (3X) the booking value. We are a hospitality software company leveraging Artificial Intelligence (AI) technology to empower hotels to significantly increase their room fill rate and lower their commission expenses, even though OTAs might not be too happy about it. Products and Features: - AI Ad Engine which requires zero human intervention. - Dynamic campaigns targets the right guests by spotting micro-trends and modifying campaigns. - Increase profile visibility by 500% versus running Google ads manually. - Website with integrated booking engine, video reels, AI backed SEO and payment gateway integrated which is built for performance and conversions. - Google Business Profile Optimizer that improves your profile rank for higher visibility, coupled with a GPT-powered review management tool. - AI ChatBot that ease hotel communication with guests by answering all their questions using Generative AI. - Price Parity Tool that will compare prices of all OTAs and competitors in the area, helps hoteliers to always stay ahead of competitors.
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Jobs at Hotelzify

Hotelzify
at Hotelzify
Unnikrishnan CJ
Posted by Unnikrishnan CJ
Bengaluru (Bangalore)
0 - 2 yrs
₹10L - ₹30L / yr (ESOP available)
skill iconPython
Large Language Models (LLM) tuning
Open-source LLMs
Large Language Models (LLM)

Role Overview

As an AI/ML Engineer at Hotelzify, you will be at the forefront of designing and deploying AI components that power our conversational agent (voice + chat). You’ll be responsible for NLP/NLU pipelines, real-time inference optimization, dialogue management, retrieval-augmented generation (RAG), and LLM integration, helping the agent understand user intents, answer questions, and complete bookings live.

Key Responsibilities

  • Design and implement NLP/NLU models to understand real-time user intents from text and voice.
  • Build and fine-tune LLM-based conversational flows using RAG, prompt engineering, and retrieval mechanisms.
  • Integrate external tools for hotel availability, pricing APIs, CRM data, and transactional workflows.
  • Develop efficient real-time inference pipelines with latency under 300ms for voice and chat.
  • Collaborate with frontend/backend teams to ensure seamless LLM API orchestration.
  • Optimize prompt logic, dialogue memory, and fallback strategies for natural conversations.
  • Conduct A/B experiments and continuous learning pipelines for feedback-driven improvement.
  • Use vector databases (e.g., FAISS, Pinecone, Weaviate) for retrieval over hotel-related data.
  • Work on voice-specific challenges: STT (Speech-to-Text), TTS, and intent detection over audio streams.

Tech Stack

  • Languages: Python, Node.js
  • AI/ML: LangChain, Transformers (Hugging Face), OpenAI APIs, LlamaIndex, RAG, Whisper, NVIDIA NeMo
  • Infra: AWS (EC2, RDS, EKS, Lambda), Docker, Redis
  • Databases: PostgreSQL, MongoDB, Pinecone / Weaviate / Qdrant
  • Voice APIs: Plivo, Twilio, Google Speech, AssemblyAI

What We’re Looking For

  • 3+ years in AI/ML/NLP-focused roles, preferably in production environments.
  • Strong understanding of modern LLM pipelines, LangChain/RAG architectures.
  • Experience building or integrating real-time conversational AI systems.
  • Comfortable with voice-based systems: STT, TTS, and real-time latency tuning.
  • Hands-on experience with fine-tuning or prompt-tuning transformer models.
  • Bonus: Experience working in travel, hospitality, or e-commerce domains.

Nice to Have

  • Prior work with agents that use [tool calling] / [function calling] paradigms.
  • Knowledge of reinforcement learning for dialogue optimization (e.g., RLHF).
  • Experience deploying on GPU-based infrastructure (e.g., AWS EC2 with NVIDIA).

Why Join Us?

  • Work on a real product used by thousands of guests every day.
  • Build India’s first real-time AI agent for hotel sales.
  • Flexible work environment with deep ownership and autonomy.
  • Get to experiment and deploy bleeding-edge ML/AI tech in production.


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