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Senior Staff Backend Engineer - Discovery AI Infrastructure & Enablement

Faire is an online wholesale marketplace using technology and machine learning to connect independent retailers and brands globally. The Discovery AI Infrastructure & Enablement team is hiring a Senior Staff Backend Engineer to design, build, and scale next-generation search and AI infrastructure that enables fast, relevant discovery, retrieval, and ranking at massive scale.

Skills

  • Strong fundamentals in distributed systems, low-latency serving, and high-throughput architectures.
  • Hands-on experience with search and vector frameworks (Elasticsearch, Lucene, FAISS, Vespa, Milvus, Weaviate).
  • Expertise in search indexing, retrieval, embeddings, query rewriting, personalization, and ranking pipelines.
  • Experience integrating ML and LLM model serving into production (TF Serving, TorchServe, Ray Serve, etc.).
  • Proficiency in at least one backend language: Java, Kotlin, Go, or Python; plus familiarity with streaming/storage (Kafka, Flink, Spark).
  • Strong communication, technical leadership, and cross-team collaboration skills.

Responsibilities

  • Design, build, and optimize search and AI infrastructure (semantic search, vector retrieval, embeddings) to serve personalized results with low latency.
  • Lead productionization of natural language search, retrieval, and multi-stage ranking pipelines including query understanding and re-ranking.
  • Integrate LLMs, semantic models, and agentic features into discovery flows and ensure efficient model serving and orchestration.
  • Drive technical strategy for applied AI across search and discovery; collaborate with Data Scientists, ML Engineers, and Product Managers.
  • Improve retrieval efficiency, index tuning, and latency/cost trade-offs at scale; own monitoring, testing, and reliability for serving systems.
  • Mentor engineers, review designs and code, and lead cross-functional initiatives to deploy experiments and iterate based on metrics.

Education

  • Bachelor’s degree in Computer Science, Engineering or related field, or equivalent practical experience.
  • Advanced degree (MS/PhD) in CS, ML, or related discipline is a plus but not required.

Benefits

  • Competitive base salary, equity, and comprehensive benefits package.
  • Hybrid work schedule (in-office 2 days/week, adding a flex day starting Jan 2026) with limited remote flexibility.
  • Inclusive workplace with accommodations for applicants with disabilities throughout the hiring process.
  • Opportunity to work on state-of-the-art applied AI and influence product direction impacting hundreds of thousands of small businesses.
To read the complete job description, please click on the ‘Apply’ button
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Average salary estimate

$318250 / YEARLY (est.)
min
max
$268000K
$368500K

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Faire is an online wholesale platform that leverages technology to empower local boutiques and independent businesses globally, facilitating their access to unique worldwide products and driving positive economic impact in their communities.

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SENIORITY LEVEL REQUIREMENT
INDUSTRY
TEAM SIZE
SALARY RANGE
$268,000/yr - $368,500/yr
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
September 13, 2025
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