Customer Engineer, Agent Builder - Spanish Speaking

Decagon Decagon · Vertical AI · San Francisco, CA · Deployment Strategists

This role is responsible for the end-to-end execution of AI agent builds for enterprise customers, focusing on technical delivery, configuration, integration, and evaluation. The role requires strong technical skills, customer-facing experience, and the ability to work in a fast-paced environment.

What you'd actually do

  1. Own end-to-end architecture and execution of AI agent builds for enterprise customers, from systems design and initial scoping through implementation, evaluation, and production deployment.
  2. Design and engineer the core agentic logic governing agent behavior, applying engineering principles to optimize quality, reliability, and correctness across non-deterministic model outputs.
  3. Engineer and validate layered guardrails and supervisory controls to ensure safe, compliant, and predictable agent performance across real-world scenarios.
  4. Architect, build, and test integrations with customer systems (e.g., data pipelines, CRMs, ticketing systems), including building the tools, APIs, and workflows needed for reliable deployments at scale.
  5. Interface with senior technical stakeholders at customers to define success criteria and system requirements, and drive technical delivery against timelines.

Skills

Required

  • 5+ years of relevant experience in a technical customer-facing role (e.g., solutions engineering, forward-deployed engineering, technical consulting, implementation engineering, technical product/PM, or similar).
  • Native or business-level fluency in both written and spoken English and Spanish is required.
  • Strong technical foundation: comfortable writing code, working with APIs, and building/validating integrations end-to-end.
  • Experience delivering production-grade customer solutions that require structured execution, testing/validation, and iteration.
  • Ability to communicate clearly with senior technical stakeholders, translate requirements into implementation plans, and drive delivery.
  • Comfort working in fast-moving, ambiguous environments where you shape solutions as much as you implement them.

Nice to have

  • Experience building with or around LLMs / AI agents (prompting, evaluation, guardrails, tooling, workflow design, etc.).
  • Experience with enterprise SaaS integrations (e.g., ticketing systems, CRM, data pipelines) and associated security/compliance considerations.
  • A Computer Science, Engineering, or Math degree, or equivalent technical experience.
  • Strong product instinct: ability to write crisp PRDs, define success metrics, and contribute customer insight back into product roadmap.

What the JD emphasized

  • end-to-end execution of AI agent builds
  • enterprise-quality agents
  • customer-facing technical delivery
  • technical delivery
  • agent configuration and build execution
  • end-to-end execution of AI agent builds
  • enterprise customers
  • agentic logic
  • agent performance
  • customer systems
  • technical stakeholders
  • technical failures
  • agent behavior
  • customer needs
  • agent builds
  • technical customer-facing role
  • Spanish Speaking
  • writing code
  • building/validating integrations end-to-end
  • production-grade customer solutions
  • structured execution
  • testing/validation
  • iteration
  • senior technical stakeholders
  • implementation plans
  • technical delivery
  • fast-moving, ambiguous environments
  • shape solutions
  • implement them
  • building with or around LLMs / AI agents
  • prompting
  • evaluation
  • guardrails
  • tooling
  • workflow design
  • enterprise SaaS integrations
  • security/compliance considerations
  • technical experience
  • product instinct
  • crisp PRDs
  • success metrics
  • customer insight
  • product roadmap

Other signals

  • AI agent builds
  • customer-facing technical delivery
  • enterprise-grade performance