Posted directly on LandEarly · Oct 25

AI Engineer

Wanderlust AppPosted Oct 25, 2026
AI EngineerFull TimeRemoteMid
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Posted and managed by Wanderlust App on LandEarly.

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Oct 25
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Job descriptionFull Time

Wanderlust App is a travel planning platform that uses grounded AI to build day-by-day itineraries from real city and cost data, then helps travelers live that plan offline on the ground through Trip Mode, and share it with a community of other travelers. We're looking for an AI Engineer to help build and improve the AI systems that power our itinerary generation and trip assistant features.

What you'll do

  • Design, build, and maintain AI/ML systems that power itinerary generation, trip recommendations, and conversational planning features
  • Develop and refine prompting strategies, retrieval pipelines, and grounding techniques to keep AI outputs accurate and useful
  • Collaborate with product and engineering teams to integrate AI features into the core planning and Trip Mode experiences
  • Evaluate model performance, build test harnesses, and iterate based on real user feedback and edge cases
  • Monitor and improve latency, cost, and reliability of AI-powered features in production
  • Work with structured city, cost, and travel data to ensure AI outputs stay grounded in real-world facts

What we're looking for

  • Professional experience building and shipping AI/ML-powered features in a production environment
  • Strong proficiency in Python and experience working with LLM APIs, embeddings, or retrieval-augmented generation (RAG) systems
  • Solid understanding of prompt engineering, evaluation techniques, and strategies for reducing hallucination in AI outputs
  • Experience working with structured and unstructured data pipelines
  • Comfortable collaborating cross-functionally with product, design, and backend engineers
  • Strong debugging and problem-solving skills, with a focus on shipping reliable, user-facing features

Nice to have

  • Experience building consumer-facing AI products
  • Familiarity with offline-first or mobile app architectures
  • Background in travel, geospatial, or recommendation systems

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