Senior Agentic Ai Engineer

Zetaglobal

San Francisco, United States
On-site
Agentic ai workflows
Rag + tool-using workflows
Ace (observe → reason → act → evaluate)
Zeta Global is hiring a hands-on Agentic AI engineer to build bidder-adjacent agents that improve campaign performance using RAG + tool-using workflows in a closed-loop ACE (Observe → Reason → Act → Evaluate) system

Job Summary

  • Zeta Global is hiring a hands-on Agentic AI engineer to build bidder-adjacent agents that improve campaign performance using RAG + tool-using workflows in a closed-loop ACE (Observe → Reason → Act → Evaluate) system.
  • The role involves building agentic workflows for campaign control actions, implementing production-grade RAG, creating safe tool/action interfaces, and owning AgentOps including evaluation harnesses and online experimentation.
  • The engineer will partner with Backend/Bidding, Data Platform, DS/Optimization, Product, and SRE teams to define the boundary between deterministic bidding and agent-driven control-plane decisions.

Matching Summary

Zeta Global is hiring a hands-on Agentic AI engineer to build bidder-adjacent agents that improve campaign performance using RAG + tool-using workflows in a closed-loop ACE (Observe → Reason → Act → Evaluate) system.

Skills & Requirements

Must-have

  • Agentic AI workflows
  • RAG + tool-using workflows
  • ACE (Observe → Reason → Act → Evaluate)
  • low-latency AdTech environment
  • production-grade RAG implementation
  • safe tool/action interfaces
  • AgentOps (eval harnesses, regression suites, A/B testing)

Nice-to-have

  • campaign control actions
  • optimize grounding and reduce hallucinations
  • idempotent execution, audit logs
  • metrics tied to outcomes
  • end-to-end observability
  • reliability patterns

Key Requirements

  • Hands-on Agentic AI engineer
  • Bidder-adjacent agents
  • RAG + tool-using workflows
  • ACE (Observe → Reason → Act → Evaluate)
  • Low-latency AdTech environment

Work Rights

Not specified

Tailored Resume

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