Agent Deployment Engineer - Spanish Speaking
Decagon · San Francisco
About this role
## Agent Deployment Engineer — Spanish Speaking ### About Decagon Decagon is a conversational AI platform helping brands deliver concierge customer experiences. Teams use Decagon to deploy AI agents across voice, chat, email, SMS, and more—enabling faster resolutions, richer conversations, and deeper customer relationships. Decagon is an in-office company and is backed by investors including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures. ### About the Team Decagon is building an **Agent Deployment Engineering** org—an end-to-end technical delivery team responsible for shipping enterprise-grade AI agent builds. Agent Deployment Engineers own hands-on execution, including: - Writing and configuring agent components - Validating integrations - 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 will own the end-to-end implementation work required to launch and scale enterprise-quality AI agents for strategic customers. You’ll partner with Agent PMs, Agent Success, Engineering, and GTM to create tight feedback loops—executing builds, surfacing gaps, and influencing improvements to Decagon’s agent-building platform. ### What You’ll Do - Own end-to-end architecture and execution of AI agent builds (scoping → implementation → evaluation → production deployment) - Design and engineer core agentic logic to optimize **quality, reliability, and correctness** under non-deterministic model outputs - Build and validate layered guardrails and supervisory controls for safe, compliant, predictable performance - Architect, build, and test integrations with customer systems (e.g., data pipelines, CRMs, ticketing systems), including tools/APIs/workflows for scalable deployments - Interface with senior customer technical stakeholders to define success criteria and drive delivery against timelines - Diagnose and resolve probabilistic and technical failures via root-cause analysis of traces, logs, and model behavior - Design evaluation and regression-testing frameworks to prevent performance drift - Translate customer needs into clear internal documentation and drive platform improvements through feedback loops - Partner across APMs, Engineering, Design, and GTM to deliver consistent, repeatable, best-in-class agent builds ### Your Background - **5+ years** in a technical customer-facing role (e.g., solutions engineering, forward-deployed engineering, technical consulting, implementation engineering, technical PM, etc.) - **Native or business-level fluency in English and Spanish** (written and spoken) - Strong technical foundation: comfortable writing code, working with APIs, and building/validating integrations end-to-end - Experience delivering production-grade customer solutions with structured execution, testing/validation, and iteration - Ability to communicate clearly with senior technical stakeholders and translate requirements into implementation plans - Comfort working in fast-moving, ambiguous environments ### Even Better If You Have - Experience building with/around **LLMs / AI agents** (prompting, evaluation, guardrails, tooling, workflow design) - Experience with **enterprise SaaS integrations** (ticketing systems, CRM, data pipelines) and security/compliance considerations - CS/Engineering/Math degree (or equivalen
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