aigoc++rustdistributed systemsvector databasesindexinggraph databasesfull text searchquery planning
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$180к-350к/год
$210к$230кмедиана$270к
По похожим ролям (49) ~ $230к/год
На СНГ рынке: $3.9к/мес ($3к - $4.8к)
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Чётко очерченная ключевая роль в AI-поиске с серьёзными задачами в системной инженерии и хорошими льготами; обязательная работа из офиса в Сан-Франциско ограничивает гибкость.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Query Engine Engineer (AI): Building a query engine that retrieves hundreds of billions of evidence-backed claims across graph, vector, full-text, time-series, and geospatial backends with an accent on storage layout, indexing, query planning, and consistency. Focus on serving thousands of queries per second, optimizing p50/p99 latency, designing cost-based planners, and maintaining precise results during live data convergence.
Location: In-person in San Francisco, California, United States.
Salary: $180K–$350K per year, plus equity.
Company
hirify.global is an applied AI lab building a large-scale search engine, web-crawling infrastructure, embedding models, vector databases, and a knowledge engine.
What you will do
Own the query engine for hundreds of billions of evidence-backed claims across distributed graph, vector, full-text, time-series, and geospatial retrieval backends.
Design storage layouts, partitioning, indexes, bulk snapshot builds, and live ingestion without downtime.
Build cost-based query planning that selects backends, execution order, joins, traversals, retrievals, filters, and aggregations.
Optimize high-concurrency performance to serve thousands of queries per second while reducing p50/p99 latency, memory use, and cost per query.
Define consistency behavior for live updates and bulk snapshots, including snapshot promotion, ordered updates, and stable pagination across versions.
Develop deployment checks, evaluations, and metrics for retrieval precision, completeness, correctness, reliability, and data quality.
Requirements
Deep experience working inside a distributed database, query engine, search engine, or storage system.
Strong understanding of indexing, query planning and optimization, and storage formats.
Solid understanding of distributed systems fundamentals, including consensus, replication, sharding, and fault tolerance.
Strong proficiency in Go, Rust, or C++.
Experience profiling before optimization and shipping measured latency improvements in production.
Strong focus on correctness, reliability, data quality, and scale.
Nice to have
Experience with graph databases or combining vector, full-text, time-series, and geospatial retrieval.
Experience with compilers, query language design, or cost-based optimizers.
Culture & Benefits
Premium medical, dental, and vision healthcare benefits.
Fertility benefits and 16 weeks of fully paid parental leave for all new parents.
Monthly wellness stipend.
Visa sponsorship is available for international candidates, including STEM OPT, OPT, H1B, O1, and E3; sponsorship is not guaranteed.
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