Principal Applied AI Engineer – Entity Agents

ZoomInfo

. Run the benchmark and golden-gate system on a schedule against staging, automatically gating agent versions and tracking variance and drift .

Posted 10/2/2026full-timeRemote • United StatesLead💰 $171,500 - $269,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying LLM-based systems, with a strong focus on data pipelines, instrumentation, and internal tooling for enhanced observability and performance. Proven ability to collaborate across teams and take prototypes to production while ensuring validated behavior.

Highest-signal resume keywords

Python ProgrammingTypeScript ProgrammingData Pipeline DevelopmentLLM-Based Systems DeploymentInstrumentation Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAgent LoopsTool UseStructured OutputEvaluation HarnessesBatch RunnerAPI DevelopmentEntity ResolutionCost BudgetingLatency Budgeting

Soft Skills

CollaborationProblem-Solving

Tools & Technologies

Agentic PlatformZoomInfoInternal Tooling

Industry Keywords

B2B DataIdentity DataRegistry DataAI-Native StartupApplied AI

Tech Stack

Tools & technologies

PythonTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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