✦ Luna Orbit — AI & Machine Learning

Relevance Engineer - Enterprise Search & AI Hybrid

at Cisco Systems

Hybrid 💰 $118K – $160K USD / year Posted April 05, 2026
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Position Details

Salary $118K – $160K USD / year
Type Full-Time
Experience senior
Exp. Years 5+ years
Education Bachelor's degree in Computer Science, Information Retrieval, Data Science, or related field
Category AI & Machine Learning

About this role

Cisco is seeking a Relevance Engineer to architect and optimize hybrid retrieval systems for enterprise knowledge discovery. The role blends traditional information retrieval with Generative AI capabilities (RAG) to deliver highly relevant search experiences at scale.

Key Responsibilities

  • Architect and optimize hybrid retrieval systems using Elasticsearch, semantic embeddings, and re-ranking models
  • Develop and tune relevance models using query analytics and behavioral signals
  • Integrate Generative AI capabilities with traditional information retrieval
  • Implement and optimize Retrieval-Augmented Generation (RAG) pipelines across enterprise data
  • Partner with AI engineers, platform teams, and product stakeholders to define measurable improvements in search quality and user satisfaction

Technical Overview

The role centers on Elasticsearch-based architectures, vector embeddings, and re-ranking models to improve relevance and latency. The candidate will leverage Python/Java, query analytics, and A/B testing to optimize search, while integrating Generative AI capabilities and RAG pipelines.

Ideal Candidate

The ideal candidate is a senior-level search engineer with 5+ years of experience in search relevance optimization, hands-on Elasticsearch production experience, and a proven track record in integrating Generative AI/RAG into enterprise search. They should combine strong technical depth with the ability to translate search improvements into measurable business impact.

Must-Have Skills

Bachelor's degree in Computer ScienceInformation RetrievalData Scienceor related field5+ years of experience in search engineering or relevance optimization3+ years hands-on experience designing and operating Elasticsearch in production environmentsExperience tuning search relevance (rankingscoring modelsanalyzerstokenizationsynonymsboosting)Experience with large-scale structured and unstructured data setsProficiency in Python or Java

Nice-to-Have Skills

Experience integrating Generative AI or LLM-based systems with search platformsFamiliarity with Retrieval-Augmented Generation frameworksExperience with hybrid search (keyword + vector search) and embedding-based retrievalKnowledge of evaluation metrics such as NDCGMRRprecision/recalland A/B testingStrong communication skills with the ability to translate search relevance improvements into business impact

Tools & Platforms

ElasticsearchPythonJava

Required Skills

Bachelor's degree in Computer ScienceInformation RetrievalData Scienceor related field; 5+ years of experience in search engineering or relevance optimization; 3+ years Elasticsearch in production; Experience tuning search relevance; Experience with large-scale data; Proficiency in Python or Java

Hard Skills

Elasticsearchvector searchembedding-based retrievalRetrieval-Augmented GenerationRAGhybrid searchtop-k relevancelatencyPythonJavaquery analyticsbehavioral signalsexperimentation frameworksNDCGMRRA/B testing

Soft Skills

communicationcollaborationteamworkproblem-solvingdata-driven decision makingstakeholder communication

Industry & Role

Industry Technology
Job Function Design, build, and optimize enterprise search systems leveraging AI-enabled relevance.
Role Subtype Search Engineer
Tech Domains Python, Java, Elasticsearch

Keywords for Your Resume

Relevance EngineerEnterprise SearchGenerative AIRetrieval-Augmented GenerationRAGElasticsearchvector searchembedding-based retrievalhybrid searchPythonJavaNDCGMRRA/B testingquery analyticstop-k relevancelatencysemantic embeddings

Deal Breakers

Bachelor's degree in Computer Science or related field required, 5+ years of experience in search engineering or relevance optimization required, 3+ years hands-on Elasticsearch production experience required

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