Actively AI

Actively AI

Senior/Staff Software Engineer (Search & Retrieval)

San Francisco, California, United States · Staff+

Sponsorship not specified$160k-$220kDetected 85 days ago
LLMsAgentic AIResearch

About the role

  • When an Actively agent decides which account to prioritize or what action to take next, it reasons over retrieved context
  • data pulled from customer records, call transcripts, signals, and internal intelligence.
  • Get that retrieval right and the agent acts with precision.

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.
  • 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.
  • Understands the freshness problem. You've built retrieval pipelines over fast-changing data, including near-real-time indexing, incremental updates, or event-driven ingestion, and know how freshness trade-offs affect system design.
  • Rigorous about evaluation. You've designed or evolved retrieval evaluation frameworks using IR metrics, task-level success signals, or automated quality checks, and you treat regressions as real incidents.
  • You own outcomes, not just tasks, and see directly how your work changes what customers can do - across a product and go-to-market motion that is scaling fast.
  • The team is high-caliber and low-ego: people who work from first principles, move with urgency, and care deeply about building something that drives real value.

Requirements

  • Deep experience in search or retrieval systems.
  • Experience with entity resolution, knowledge graph construction, or relationship extraction at scale, particularly over noisy or inconsistently structured source data.
  • Actively AI provides an estimate of the compensation for roles that may be hired as required by state regulations.

Compensation

  • may vary based on (a) location, as Actively AI factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience.
  • Additionally, Actively AI leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available.
  • The salary, other compensation, and benefits information is accurate as of the date of this posting.
  • $160,000 - $220,000 USD
  • 🌴 Annual Off-sites & Monthly Events

Benefits

  • 🚀 Competitive Early-Stage Equity
  • ⚕ Health, Dental, Vision Coverage
  • 💡 Unlimited PTO + Recharge Days
  • 🚆 Commuter Benefits

Company info

  • Intelligence-Led Revenue.
  • Revenue organizations have always been bottlenecked on human capacity.
  • Reps triage which accounts get attention.
  • Context disappears at every handoff.
  • On any given day, the vast majority of accounts have exactly zero people thinking about them.
  • Actively addresses this at the structural level.
  • Our platform deploys Per-Account AgentsTM across our customers' TAM, working 24/7 to research, identify opportunities, and advance next steps without being asked.
  • Leading enterprises including Ramp, Ironclad, and Samsara are already making this shift.
  • Our co-founders are former Stanford AI researchers, and the team comes from Harvard, CMU, Berkeley, Brex, Scale AI, and Google.
  • We've raised $68M from TCV, First Harmonic, Bain Capital Ventures, First Round Capital, and more.
  • people who work from first principles, move with urgency, and care deeply about building something that drives real value.
  • If that's the kind of challenge you're looking for, Actively is the right place.

Equal opportunity

  • Actively AI is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation.
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This listing is sourced directly from Actively AI's careers page and normalized into a canonical job model.