Elastic Search Engineer

About LiloLilo is revolutionizing procurement for Commercial Real Estate (CRE) businesses by providing a single platform to automate and optimize procurement processes using AI.

From hotels to gyms, schools, and senior living homes, we streamline workflows like invoicing, vendor management, and price comparisons—saving our clients both time and money.

We are already transforming procurement for major brands like Fairfield, Hampton Inn, and Hilton.About The RoleWe are looking for a highly experienced ElasticSearch Engineer with a strong background in designing and optimizing search systems at scale, particularly within eCommerce or marketplace environments.

This is an ideal role for engineers who thrive on building performant, intelligent search experiences that power real-time decision-making.

If you're passionate about semantic search, relevance tuning, and large-scale search infrastructure, we want to hear from you!What You Will DoArchitect, implement, and optimize ElasticSearch solutions for our AI-driven procurement platform.Design and maintain scalable search infrastructure to support complex querying across dynamic datasets.Collaborate with cross-functional teams to integrate search features into the product, including faceted search, autocomplete, and semantic search.Monitor, troubleshoot, and improve search performance, accuracy, and latency.Evaluate and implement natural language processing techniques to improve search relevance and contextual understanding.Stay ahead of advancements in search technology, particularly in vector search and semantic search models.What You Will Need3+ years of hands-on ElasticSearch experience, especially in production systems for eCommerce or online marketplaces.Strong understanding of search architecture, including indexing strategies, analyzers, tokenization, and ranking algorithms.Experience integrating ElasticSearch into distributed systems at scale.Solid programming experience with Python and / or JavaScript.Proficiency with Docker and containerized deployments.Experience with semantic search, NLP, or vector embeddings is a strong plus.English or Spanish proficiency at C1 or C2 level, both written and spoken.Availability to work in US East Coast time zone.Ownership mentality and strong problem-solving skills—comfortable driving features from design to production with minimal oversight.Why Lilo?Work remotely from LATAM with a fast-growing, US-based startup.Have a direct impact on core product features and search infrastructure.Stock options for the right candidate.Join a collaborative, global, and multi-cultural team focused on building cutting-edge procurement tech.