[Remote] Senior Agentic AI Engineer

Note: The job is a remote job and is open to candidates in USA. Zeta Global is an AI-Powered Marketing Cloud that utilizes advanced artificial intelligence to enhance marketing efficiency. The role involves building bidder-adjacent agentic workflows to improve campaign performance and implementing production-grade retrieval-augmented generation systems in a low-latency AdTech environment.

Responsibilities

• Build bidder-adjacent agentic workflows that recommend/execute campaign control actions (targeting constraints, budget & pacing levers, bid modifiers, supply/inventory selection, creative routing)
• Implement production-grade RAG: retrieval from policies/playbooks, campaign history, aggregates, and near-real-time telemetry; optimize grounding and reduce hallucinations
• Create safe tool/action interfaces: idempotent execution, audit logs, dry-run + approval gates, rate limits, rollback/fallback behaviors
• Own AgentOps: 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

Skills

• 5+ 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 monitoring for AI systems (offline benchmarks + online experiments)
• Cloud + distributed systems fundamentals (APIs, microservices, streaming/eventing; AWS preferred)
• 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

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

Company Overview

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