Principal Agentic AI Engineer

WHO WE ARE

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire grow and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP) our vision is to make sophisticated marketing simple by unifying identity intelligence and omnichannel activation into a single platform powered by one of the industrys largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more go to .

Role Snapshot

Werehiring a hands-on Agentic AI engineer to buildbidder-adjacent agentsthat improve campaign performance usingRAG tool-using workflowsin a closed-loopACE (Observe Reason Act Evaluate). This is not a classic train a model and deploy it rolethis is agentic decisioning evaluation safety in a low-latency AdTech environment.

WhatYoullDo

• Build bidder-adjacent agentic workflows that recommend/execute campaign control actions (targeting constraints budget & pacing levers bid modifiers supply/inventoryselection creative routing).

• Implement production-grade RAG: retrieval from policies/playbooks campaign history aggregates and near-real-time telemetry;optimizegrounding and reduce hallucinations.

• Create safe tool/action interfaces: idempotent execution audit logsdry-run approval gates rate limits rollback/fallback behaviors.

• OwnAgentOps: eval harnesses regression suites online experimentation (A/B) metrics tied to outcomes (CPA/ROAS pacing quality margin).

• Add observability end-to-end (tracing prompts/retrieval/tool calls/latency) and reliability patterns (timeouts circuit breakers safe defaults).

• Partner with Backend/Bidding Data Platform DS/Optimization Product and SRE to define the boundary between deterministic per-request bidding and agent-driven control-plane decisions.

Must-Have Qualifications

• 10 years building production backend and/or applied AI systems (design ship operate).

• Strong engineering in Java or Go (Python OK for evals/tooling).

• Hands-on experience with LLMs and agentic patterns (tool use structured outputs multi-step loops).

• Hands-on RAG experience (embeddings hybrid retrieval reranking chunking context assembly).

• Experience building evals and monitoringforAI systems (offline benchmarks online experiments).

• Cloud distributed systems fundamentals (APIs microservices streaming/eventing; AWS preferred).

Nice-to-Have

• Programmatic advertising (DSP/SSP/RTB) or other high-scale real-time decisioning domains.
• Experience with safety/policy enforcement for agent tools (prompt/tool sanitization allowlists schema validation).

• Experience designing AI control plane systems that influence production outcomes while keeping serving paths stable.
• Familiarity with experimentation platforms feature stores and large-scale telemetry pipelines.

BENEFITS & PERKS

• Unlimited PTO
• Excellent medical dental and vision coverage
• Employee Equity
• Employee Discounts Virtual Wellness Classes and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $220000 - $250000 depending on location and experience.

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to and does not discriminate on the basis of an individuals sex race color religion age disability status as a veteran or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation gender identity or expression.

Were committed to building a workplace culture of trust and belonging so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate support and advocate for one another. Learn more about our commitment to diversity equity and inclusion here: IN THE NEWS!

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