Senior Engineer
About the role
We’re looking for a Senior Data/Platform Engineer who can own the knowledge and retrieval layer behind an AI-powered travel product. You’ll work on the systems that structure, validate, and resolve large volumes of place data, helping ensure downstream trip generation is accurate and grounded in reliable evidence. This role requires someone who is rigorous, highly detail-oriented, and comfortable working through ambiguity to create systems that are trustworthy, scalable, and production-ready.
What you'll do
- Own and improve the structured knowledge layer behind an AI travel-planning platform
- Build and harden entity resolution and deduplication workflows for places, neighborhoods, trails, landmarks, and related geographic entities
- Improve extraction pipelines that turn prose and raw source material into structured, queryable data
- Design systems so downstream generation relies on pre-built lookups and validated relationships rather than model inference alone
- Work with geospatial data, map systems, coordinates, polygons, and spatial logic to support accurate travel and place modeling
- Build reliable retrieval and read models used by generation, product display, and maps
- Write high-quality SQL and pipeline scripts to support large-scale structured data workflows
- Validate data quality through both automated checks and hands-on review of real records
- Contribute to trust, validation, and evidence-based data acceptance logic across the platform
- Help turn separate data and extraction components into one cohesive production system
Requirements
- Strong experience as a senior data, platform, or backend engineer
- Deep knowledge of PostgreSQL and strong SQL skills
- Hands-on experience with PostGIS and map / geospatial systems
- Strong experience with Node.js and TypeScript
- Experience with entity resolution, deduplication, or knowledge-graph-like data problems
- Experience building or improving RAG systems and LLM extraction pipelines
- Familiarity with open-source map ecosystems and spatial data concepts
- Strong understanding of how to build reliable data pipelines that are structured, scalable, and careful about correctness
- Excellent English reading and writing skills
- Self-directed, rigorous, and able to work through niche technical challenges with a high quality bar
- Comfortable working with ambiguity and solving messy real-world identity and place-data problems
About Near
At Near, we help top talent in Latin America find remote roles with US companies. Our mission is to create better lives by fostering a remote work culture that transcends borders.
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