Principal Applied AI Engineer – Entity Agents

🔥 16 hours ago

🇺🇸 United States – Remote

💵 $171.5k - $269.5k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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ZoomInfo

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📣 Marketing

☁️ SaaS

💰 Private Equity Round on 2014-04

Consulting • Marketing • SaaS

ZoomInfo is a leading provider of go-to-market intelligence solutions for sales and marketing professionals. The platform offers comprehensive data insights and analytics to help businesses identify target audiences, manage customer relationships, and drive revenue growth. By leveraging advanced technologies and extensive databases, ZoomInfo enables organizations to optimize their sales strategies and enhance operational efficiency.

📋 Description

• Run the benchmark and golden-gate system on a schedule against staging, automatically gating agent versions and tracking variance and drift • Complete the entity-agent pipeline, including enricher fan-out, location sets, hierarchy batch files, and production-scale classifier migration • Measure throughput and unit cost per pipeline stage on named cohorts • Build evidence adapters for registries, live web, mail-tenant signals, and external research vendors behind a replayable, swappable envelope • Deploy company and contact agents onto ZoomInfo’s Agentic Platform, including ingest adapters, bulk intake, rollback paths, and lockstep implementation upgrades • Build review queues, tagging tools, blast-radius viewers, and batch runners for self-service use by researchers and product managers • Own the health and deployment of classifiers, agents hub, and judge platform inside internal tooling • Instrument cost, latency, quality, and alerts across systems • Collaborate with the Principal AI Engineer, product managers, research team, agentic platform team, and company and person engineering teams • Report to the Senior Manager of Product for Core Data, with the Principal AI Engineer as technical lead

🎯 Requirements

• 5+ years of software engineering experience, including at least 2 years shipping LLM-based systems to production • Experience with agent loops, tool use, retrieval, structured output, and evaluation harnesses • Strong Python and TypeScript skills • Comfort across an API layer, batch runner, and small web UI for internal users • Experience building platforms others operate, including adapters, runners, queues, or internal tools designed for replay, idempotency, and observability • Working knowledge of data pipelines and entity resolution • Track record of taking prototypes to production while preserving validated behavior • Instrumentation expertise, including cost and latency budgeting • Experience with B2B company or contact data, identity or registry data, or entity resolution at scale • Experience with Claude or comparable frontier models, agent frameworks, and evaluation harnesses (preferred) • Experience deploying agents onto an internal agent platform or orchestration layer (preferred) • Background at an AI-native startup, forward-deployed or applied AI team, or data infrastructure company (preferred)

🏖️ Benefits

• Comprehensive benefits • Holistic mind, body and lifestyle programs designed for overall well-being • Additional compensation may include bonus, commission, and equity