Job Title

Company Description:About Holiday TribeHoliday Tribe is a Great Place To Work® Certified™, seed-stage VC-funded travel-tech brand based in Gurugram. We specialize in crafting unforgettable leisure travel experiences by integrating advanced technology, leveraging human expertise, and prioritizing customer success.With holidays curated across 30+ destinations worldwide, partnerships with renowned tourism boards, and recognition as the Emerging Holiday Tech Company at the India Travel Awards 2023, Holiday Tribe is transforming the travel industry.Our mission is to redefine how Indians experience holidays making travel planning faster, smarter, and more personalized, ensuring every trip is truly seamless and unforgettable.Key ResponsibilitiesAI System DevelopmentDesign and implement Retrieval Augmented Generation (RAG) systems for travel recommendation and itinerary planningBuild and optimize large language model integrations using frameworks like Lang Chain for travel-specific use casesDevelop semantic search capabilities using vector databases and embedding models for travel content discoveryCreate tool-calling architectures that enable AI agents to interact with booking systems, inventory APIs, and external travel servicesImplement intelligent conversation flows for customer interactions and sales assistanceTravel Intelligence PlatformBuild personalized recommendation engines that understand traveler preferences, seasonal factors, and destination characteristicsDevelop natural language processing capabilities for interpreting customer travel requests and preferencesImplement real-time itinerary generation systems that consider multiple constraints (budget, time, preferences, availability)Create AI-powered tools to assist travel experts in creating customized packages fasterBuild semantic search engines for finding relevant travel content based on user intent and contextual understandingAI Agent & Tool IntegrationDesign and implement function calling systems that allow LLMs to execute actions like booking confirmations, inventory checks, and pricing queriesBuild multi-agent systems where specialized AI agents handle different aspects of travel planning (accommodation, transportation, activities)Create tool orchestration frameworks that enable AI systems to chain multiple API calls for complex travel operationsImplement safety and validation layers for AI-initiated actions in critical systemsData & Model OperationsWork with travel knowledge graphs to enhance AI understanding of destinations, accommodations, and activitiesImplement hybrid search systems combining semantic similarity with traditional keyword-based searchBuild vector indexing strategies for efficient similarity search across large travel content databasesImplement model evaluation frameworks to ensure high-quality AI outputsOptimize AI model performance for cost-efficiency and response timesCollaborate with data engineers to build robust data pipelines for AI training and inferenceCross-functional CollaborationPartner with product teams to translate travel domain requirements into AI capabilitiesWork closely with backend engineers to integrate AI services into the broader platform architectureCollaborate with UX teams to design intuitive AI-human interaction patternsSupport sales and customer success teams by improving AI assistant capabilitiesRequired QualificationsTechnical Skills3+ years of experience in AI/ML engineering with focus on natural language processing and large language modelsStrong expertise in RAG (Retrieval Augmented Generation) systems including vector databases, embedding models, and retrieval strategiesHands-on experience with Lang Chain or similar LLM orchestration frameworks, including tool calling and agent patternsProficiency with semantic search technologies including vector databases, embedding models, and similarity search algorithmsExperience with tool calling and function calling in LLM applications, including API integration and action validationProficiency with major LLM APIs (Open AI, Anthropic, Google, etc.) and understanding of prompt engineering best practicesExperience with vector databases such as Milvus, Weaviate, Chroma, or similar solutionsStrong Python programming skills with experience in AI/ML libraries (transformers, sentence-transformers, scikit-learn)AI/ML FoundationSolid understanding of transformer architectures, attention mechanisms, and modern NLP techniquesDeep knowledge of embedding models and semantic similarity techniques (sentence transformers, dense retrieval methods)Experience with hybrid search architectures combining dense and sparse retrieval methodsKnowledge of fine-tuning approaches and model adaptation strategiesUnderstanding of agent-based AI systems and multi-step reasoning capabilitiesUnderstanding of AI evaluation metrics and testing methodologiesFamiliarity with MLOps practices and model deployment strategiesSoftware EngineeringExperience building production-grade AI applications with proper error handling and monitoringExperience with API integration and orchestration for complex multi-step workflowsUnderstanding of API design and microservices architectureFamiliarity with cloud platforms (AWS, GCP, Azure) and their AI/ML servicesExperience with version control, CI/CD, and collaborative development practicesPreferred QualificationsAdvanced AI ExperienceExperience with multi-modal AI systems (text, images, structured data)Advanced knowledge of agent frameworks (LangGraph, CrewAI, AutoGen) and agentic workflowsExperience with advanced semantic search techniques including re-ranking, query expansion, and result fusionExperience with model fine-tuning, especially for domain-specific applicationsKnowledge of tool use optimization and function calling best practicesUnderstanding of AI safety, bias mitigation, and responsible AI practicesTechnical DepthExperience with advanced RAG techniques (hybrid search, re-ranking, query expansion, contextual retrieval)Knowledge of vector search optimization including indexing strategies, similarity metrics, and performance tuningExperience building tool-calling systems that integrate with external APIs and servicesKnowledge of graph databases and knowledge graph constructionFamiliarity with conversational AI and dialogue management systemsExperience with A/B testing frameworks for AI systemsTechnical Challenges You'll Work OnBuilding semantic search that understands travel intent ("romantic getaway" vs "adventure trip" vs "family vacation")Creating AI agents that can book multi-leg journeys by coordinating with multiple service providersImplementing tool calling systems that safely execute real booking actions with proper validationDesigning RAG systems that provide accurate, up-to-date travel information from diverse sourcesBuilding conversational AI that can handle complex travel planning requirements