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Senior/Staff Software Engineer (Search & Retrieval)

Actively AI· Engineering
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New York, NY$160k - $220kFull-timePosted 6mo ago

About the role

Senior/Staff Software Engineer specializing in search, retrieval, and relevance infrastructure to power Actively AI's agents. Build and scale retrieval, enrichment, and ranking systems; turn raw data into retrievable context; own end-to-end retrieval quality.

Responsibilities

  • Build the retrieval layer agents depend on. Design and scale the search and retrieval infrastructure that feeds Actively's agents, covering indexing, querying, ranking, and filtering across diverse customer data sources.
  • Turn raw, unstructured data into something retrievable. Design enrichment and entity extraction systems that pull structure, relationships, and context out of call transcripts, documents, and signals, making them queryable in ways that improve what agents actually see.
  • Own the Search for Agents Architecture: Define how data gets represented and stored, making deliberate choices about granularity, embedding models, and index configuration for different data types and use cases.
  • Build and iterate on ranking systems. Design and deploy reranking layers that maximize relevance for agent queries, and evolve them as data patterns and use cases change.
  • Develop shared retrieval primitives. Build the APIs and retrieval interfaces used by the Intelligence, Assistant, and Orchestration teams, balancing flexibility with consistency across consumers.
  • Own retrieval quality end to end. Build and maintain evaluation infrastructure using classical IR metrics, task-level success signals, and LLM-based techniques, catching regressions before they affect agent behavior.

Qualifications

  • 5+ years building and operating retrieval systems in production
  • Background in information retrieval or applied ML
  • Experience with near-real-time indexing, incremental updates, or event-driven ingestion
  • Comfortable with hybrid retrieval approaches combining semantic search, keyword/lexical matching, and metadata filtering
  • Rigorous about evaluation using IR metrics, task-level signals, or automated quality checks
  • Holistic understanding of retrieval architecture, trade-offs between pre-compute vs query-time retrieval, and scaling data stores

Skills

Required:Search and retrieval systemsInformation retrieval / applied MLFreshness / real-time indexingHybrid retrieval (semantic + lexical)Retrieval quality evaluation

Benefits

  • Competitive Early-Stage Equity
  • Health, Dental, Vision Coverage
  • Unlimited PTO + Recharge Days
  • Catered Lunch on Tuesday & Friday, Dinners every day
  • Fully Stocked Kitchen
  • Cutting-Edge Tech & Tools
  • Annual Off-sites & Monthly Events
  • Commuter Benefits
  • Cozy Office in NYC
Last updated Jul 15, 2026. Interested? Apply on the company site.

About Actively AI

GTM Superintelligence to Maximize Revenue

Actively AI is GTM superintelligence built to boost revenue per rep. The world’s most innovative revenue teams use our per-account agents to power next-best actions across their entire TAM and scale AI-driven growth.

GTM superintelligenceAI-driven growthper-account agentsenterprise-scale GTM
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