Search Engineer, AI Infrastructure — End-to-End Ranking

BlockchainHQ

San Francisco (CA)

On-site

USD 235,000 - 260,000

Full time

3 days ago
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Benefits offered by this job

Equity
Medical coverage
Dental coverage
Vision coverage
Life insurance
Disability insurance
401(k)
Pre-tax FSA
Commuter benefits
Pet insurance
15+ days PTO
Parental leave
Wellness stipend
Learning budget
Sabbatical (4y)
Team offsites
SF HQ perks
e-bike loan

Job summary

Lavendo is seeking a Search Engineer to own the systems turning the open web into a high-quality, LLМ-driven search index in a fast-moving startup. You will collaborate with the Head of Search and a small team to improve crawling, indexing, retrieval, and serving at scale.

You will own ranking quality end-to-end, ship customer-facing improvements, and optimize latency and cost while maintaining high relevance and reliability.

Qualifications

  • 3+ years building production search or retrieval systems
  • true
  • Must show a measurable impact of a ranking change
  • true

Responsibilities

  • Own ranking quality and relevance for LLM-driven search and retrieval
  • Build and operate the crawling, indexing, retrieval, and search-serving systems behind the product
  • Improve search quality using lexical, semantic, hybrid retrieval
  • Reduce latency and cost per query at scale while preserving quality
  • Own end-to-end production: design, build, deploy, monitor
  • Address freshness, deduplication, crawl scheduling at large scale
  • Collaborate with Head of Search to shape roadmap and ship improvements quickly

Skills

Production search
Ranking ownership
BM25 lexical
Latency optimization
Go/Python
Lucene/OpenSearch
Kubernetes
AWS/GCP
Protobuf gRPC

Tools

Elasticsearch
OpenSearch
Redis
Kafka
PostgreSQL
Docker
AWS
GCP
gRPC
Protobuf

Job description

Lavendo is seeking a Search Engineer to own the systems turning the open web into a high-quality, LLМ-driven search index in a fast-moving startup. You will collaborate with the Head of Search and a small team to improve crawling, indexing, retrieval, and serving at scale.

You will own ranking quality end-to-end, ship customer-facing improvements, and optimize latency and cost while maintaining high relevance and reliability.

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