Senior Applied AI Engineer — Production-Grade AI Pipelines

ZoomInfo Technologies LLC; Polska; Hybrid; PLN 671,000 - 1,054,000; Full time

Job summary

ZoomInfo is hiring a Senior Applied AI Engineer to build and own the machinery behind AI-native data management. You’ll enable entity agents, evidence adapters, and a production-grade pipeline on the ZoomInfo platform, working with cross‑functional teams to ship scalable solutions.

You will ship LLM systems, design replayable architectures, and ensure observability and cost discipline. The role emphasizes platform thinking and rapid, reliable delivery in a fast-moving organization.

Qualifications

• 5+ years of software engineering experience, including at least 2 years shipping LLM-based systems to production: agent loops, tool use, retrieval, structured output, and the evaluation harness that proved them
• Strong Python and TypeScript, and comfort across an API layer, a batch runner, and a small web UI for internal users
• Experience building platform others operate: adapters, runners, queues, or internal tools designed for replay, idempotency, and observability
• Working knowledge of data pipelines and entity resolution: how records move through ingestion, matching, and serving, and what a false merge costs versus a missed match
• A track record of taking a prototype to production without losing what the prototype proved, treating test sets and benchmarks as the contract
• Instrumentation by default: you know the cost and latency budget of every system you have shipped
• Strong bias for action and the tenacity to find an endpoint owner, get a decision, and unblock a runner in a fast-moving, distributed organization

Responsibilities

• Run the benchmark and golden-gate system. Move judge runs, golden-gate results, arms scorecards, and cost per record to a scheduled system against staging. Ensure automated gating of every agent version.
• Complete the entity-agent pipeline. Build enricher fan-out, location sets, and hierarchy batch files; migrate classifiers to the shared runner for production scale; measure throughput and cost per stage.
• Build the evidence adapters. Create registries, live web signals, and external sources behind one envelope with a replayable vendor store and per-vendor kill switch.
• Deploy onto the ZoomInfo Agentic Platform. Build ingest adapters, maintain rollback paths per version, and keep DOH/platform upgrades in lockstep via tooling.
• Make the loop self-service. Create the review queue, tagging tools, blast-radius viewer, and batch runners for researchers and product managers.
• Keep the agent surfaces alive. Own health and deployment of classifiers, agents hub, and judge platform inside internal tooling.
• Instrument everything. Track cost per call/row/stage, quality per version, and alerts before a human notices.

Skills

Python

TypeScript

Shipping LLM-based systems

API layer

Batch runner

Observability

Instrumentation

Platform thinking

Job description

ZoomInfo is hiring a Senior Applied AI Engineer to build and own the machinery behind AI-native data management. You’ll enable entity agents, evidence adapters, and a production-grade pipeline on the ZoomInfo platform, working with cross‑functional teams to ship scalable solutions.

You will ship LLM systems, design replayable architectures, and ensure observability and cost discipline. The role emphasizes platform thinking and rapid, reliable delivery in a fast-moving organization.