Senior Agentic Search Infrastructure Lead — Equity & Benefits

engineeringjobs.net, Inc.

Mountain View (CA)

On-site

USD 180,000 - 240,000

Full time

4 days ago
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Benefits offered by this job

Equity
Variable Incentive Compensation
Health Plans
Flexible Spending Accounts
401(k) Plan With Company Match
Employee Stock Purchase Plan
Matching Donations
Flexible Time Away Plan
Family Leave Programs

Job summary

engineeringjobs.net, Inc. seeks an experienced leader to own the architecture, development, and operation of large-scale search infrastructure for enterprise data and AI agents.

You will drive cross-functional initiatives to advance multimodal and knowledge-based search, while improving reliability, performance, and cost efficiency. The role requires a degree in computer science and 8–12+ years in distributed systems, search platforms, or data infrastructure, with hands-on experience in vector

Qualifications

  • Requires a bachelor’s or master’s degree in computer science or a related technical field.
  • 8-12+ years of experience building large-scale distributed systems, search platforms, or data infrastructure.
  • Hands-on experience with search technologies and production vector or AI-driven retrieval systems.

Responsibilities

  • Own the architecture, development, and operation of large-scale search infrastructure including indexing, ingestion, enrichment, and retrieval systems.
  • Lead cross-functional technical initiatives to improve multimodal and knowledge-based search, platform reliability, performance, and cost efficiency.

Skills

Search Infrastructure
Distributed Systems
Lucene/Elasticsearch/OpenSearch/Solr
Vector Search/Embeddings
Knowledge Graphs
Technical Leadership

Education

Bachelor's or Master's degree in Computer Science or related field

Job description

engineeringjobs.net, Inc. seeks an experienced leader to own the architecture, development, and operation of large-scale search infrastructure for enterprise data and AI agents.

You will drive cross-functional initiatives to advance multimodal and knowledge-based search, while improving reliability, performance, and cost efficiency. The role requires a degree in computer science and 8–12+ years in distributed systems, search platforms, or data infrastructure, with hands-on experience in vector

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