Senior Staff Agentic Search Infrastructure Engineer - Moveworks

engineeringjobs.net, Inc.; Mountain View (CA); On-site; USD 180,000 - 240,000; Full time

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

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

Requirements: Requires a bachelor's or master's degree in computer science or a related technical field and 8-12+ years of experience building large-scale distributed systems, search platforms, or data infrastructure. Candidates should have hands-on experience with search technologies and production vector or AI-driven retrieval systems, plus a record of leading complex cross-team technical initiatives.

Key Skills: Search Infrastructure, Distributed Systems, Lucene, Elasticsearch, OpenSearch, Solr, Indexing Systems, Data Ingestion Pipelines, Vector Search, Embeddings, Information Retrieval, Hybrid Search, Knowledge Graphs, Entity Resolution, Multimodal Search, Technical Leadership

Benefits: 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