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Agent Deployment Engineer

Decagon · New York City

onsiteunknown$175,000–$230,000Posted May 13, 2026

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About this role

## Agent Deployment Engineer ### About Decagon Decagon is a conversational AI platform that helps brands deliver concierge customer experiences. Their technology enables enterprises to deploy AI agents that power personalized interactions across voice, chat, email, SMS, and more. Decagon is an in-office company focused on excellence and velocity, backed by investors including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures. ### About the Team Decagon is building an **Agent Deployment Engineering Org**—a specialized technical delivery team responsible for **end-to-end execution** of AI agent builds. Agent Deployment Engineers own hands-on delivery, including writing and configuring key components, validating integrations, and ensuring agents perform reliably at scale. This role is both **technical and customer-facing**, partnering with senior technical stakeholders while going deep on agent configuration and build execution. ### About the Role As an **Agent Deployment Engineer**, you’ll own the end-to-end implementation work required to launch and scale **enterprise-quality AI agents**. You’ll partner with customers and internal teams to define success, translate requirements into build plans, and deliver agents that meaningfully impact the customer’s business. You’ll work closely with **Agent PMs, Agent Success, Engineering, and GTM** to create tight feedback loops—executing builds, surfacing gaps, and influencing the evolution of Decagon’s agent-building platform based on real customer needs. ### What You’ll Do - **Own end-to-end architecture and execution** of AI agent builds for enterprise customers—from systems design and scoping through implementation, evaluation, and production deployment. - **Design and engineer core agentic logic** governing agent behavior, applying engineering principles to optimize **quality, reliability, and correctness** across non-deterministic model outputs. - **Engineer and validate layered guardrails and supervisory controls** to ensure safe, compliant, and predictable agent performance in real-world scenarios. - **Architect, build, and test integrations** with customer systems (e.g., data pipelines, CRMs, ticketing systems).

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