Senior Search & Ranking Engineer (AI Agent)

42dot
South Korea
Workplace: HybridFull timeFunction: Software EngineeringExperience: 7+ yearsSkills: ["Technical leadership","Problem-solving","Design review","Technical decision-making"]

Build and operate backend search services for multiple domains (news, places, securities, sports, music, movies). Design and standardize an OpenSearch/MongoDB Atlas-based search architecture, analyze quality using metrics like nDCG/recall/MRR/CTR, and improve ranking and recommendation via rerankers, embeddings, and semantic/vector search. Own production backend foundations (API contracts, caching, admin APIs) and lead design reviews and technical decisions.

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FursaFursa
42dot
42dot
1 month ago

Senior Search & Ranking Engineer (AI Agent)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Build and operate backend search services for multiple domains (news, places, securities, sports, music, movies). Design and standardize an OpenSearch/MongoDB Atlas-based search architecture, analyze quality using metrics like nDCG/recall/MRR/CTR, and improve ranking and recommendation via rerankers, embeddings, and semantic/vector search. Own production backend foundations (API contracts, caching, admin APIs) and lead design reviews and technical decisions.
Location: South Korea
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and operate backend systems for domain-specific collection search services across multiple categories
  • •Create and standardize search architecture (indexing and retrieval) using OpenSearch/MongoDB Atlas to scale new collections quickly
  • •Monitor and improve search quality by analyzing operational logs and offline/online metrics (nDCG, recall, MRR, CTR)
  • •Advance ranking models and recommendation logic using rerankers, embeddings, semantic search, and vector/hybrid retrieval, tuning for top-1~3 accuracy
  • •Build production backend operations foundations such as API contracts, cache, config registry, and admin APIs; lead design reviews and technical decisions

Key Requirements

  • •7+ years of experience designing, developing, and operating backend services
  • •Proficiency in one or more of Python, Java, or Kotlin
  • •Experience designing and operating API/backend services serving production traffic
  • •Experience building real service systems in at least one domain such as search, recommendation, ranking, or data platforms
  • •Analyze and improve search/quality issues using logs and metrics
Experience:7+ yearsSearchRankingRecommendationData platformsBackend services
Skills:Technical leadershipProblem-solvingDesign reviewTechnical decision-making
Tech Stack:PythonJavaKotlinOpenSearchMongoDB AtlasMongoDB Atlas SearchElasticsearchSemantic SearchEmbeddingRerankerVector SearchHybrid SearchRankFusionNDCGRecallMRRCTRAPIBackend servicesCache

Company Brief

42dot
Develops autonomous driving and mobility software platforms, including AI-based perception, mapping, routing, and connected-vehicle technologies. It works on next-generation transportation systems and self-driving vehicle capabilities for automotive applications.
Industry: Autonomous Vehicles
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Seoul, South Korea
Founded: 2019
WebsiteLinkedIn