The Discovery Search team (Search FX) sits at the intersection of search, evaluation, and personalization shaping how retailers find the products they love

Our mission is to build the most intuitive, intelligent, and delightful discovery experience in wholesale: one that feels less like a search engine and more like a trusted merchant with an encyclopedic knowledge of what’s in stock and what will sell

As a Staff Engineer on the Search FX team, you will be a primary technical architect for our retailer-facing search surfaces

You will own the technical roadmap for search, recommendations, and Gen-AI experiences that drive a meaningful share of marketplace engagement

You will bridge the gap between high-scale infrastructure and world-class UX, helping unify retrieval, ranking, and personalization into a cohesive, high-performance system

You will own the technical vision: Define the end-to-end architecture for Faire’s search and discovery experience, ensuring it is fast, relevant, and deeply personalized

You’ll build at the AI frontier: Integrate LLM-powered capabilities, such as natural language search and intelligent query understanding, directly into the product

You’ll solve complex scale problems: Help build high-scale, low-latency systems that navigate millions of products while meeting strict industry latency benchmarks

You’ll drive cross-functional impact: Partner closely with Data Science, Product, and Design to iterate on ranking models and UX components

You’ll be a mentor and leader: Foster a culture of engineering excellence and ownership, upskilling the team on technical expertise and decision-making

Architect Next-Gen Search:



Lead the design of composable grids, intent-aware routing, and orchestration layers that unify retrieval and ranking

Modernize Query Understanding: Leverage LLMs to consolidate the QU stack, improving accuracy for long-tail queries and edge cases

Optimize Performance: Drive initiatives to increase retrieval candidates (e.g., 10x growth) while maintaining stable search latency

Launch AI-Driven Features: Develop systems like “Search Missions” that use offline pipelines and LLMs to recover failed search sessions through expanded queries

Bridge AI and UX: Work with client engineers on SDUI and React Server Components to improve performance and developer velocity for dynamic search layouts

System Ownership: Take accountability for the reliability and observability of the search funnel, from query planner refactors to real-time retrieval monitoring

Benefits

Comprehensive healthcare: Including Health, Dental, Vision and Disability for all our locations.

Time off: Paid time off, holidays and company-wide “Faire Fundays”.

Parental leave: Generous parental and family leave, as well as fertility support benefits.

Productivity support: Monthly stipends to help cover work from home connectivity needs.

Annual learning grant:



For personal and professional development, as well as unlimited access to training courses through LinkedIn Learning.

Thoughtfully designed spaces: All of our offices have been designed with local in mind – from our architects to our coffee blends.

Fitness and well-being benefits: Including monthly credit towards your wellness-related programmes.

Mental health benefits: Including free access to Contemporary Health therapists and resources.

Charitable matching: Faire will match up to £250 of your charity donations, every year.

Career planning: Whether you want to grow as a leader, hone your craft or explore a current discipline, our career framework allows space for you to explore.

AI/ML Familiarity: Experience partnering with Data Science to deploy and leverage machine learning and gen-AI systems in search experiences across ranking and retrievalStrategic Leadership: Demonstrated ability to contribute to team strategy without supervision and influence the broader organizational roadmapDomain Expertise: knowledge of search/query processing, including traditional, semantic, and hybrid frameworks (e.g., Elasticsearch, Lucene)Technical Stack: Strong programming skills in Kotlin or Java, with experience in high-performance backend systems, Protocol Buffers, and MySQLProduct Sensibility: A strong user-first mindset and the ability to translate ambiguous business problems into clear technical directionExperience: 7+ years of professional software engineering experience, with 3+ years as a technical leader driving complex, cross-team projects

#J-18808-Ljbffr

📌 Staff Backend Engineer (Search FX, Discovery Experience) (Winnipeg)
🏢 Faire
📍 Winnipeg