Decagon
Agent Deployment Engineer
$175K–$230K
New York City · On-site · Full-time · Posted May 13, 2026
- Experience
- 5+ years of relevant experience in a technical customer-facing role.
- Education
- A Computer Science, Engineering, or Math degree, or equivalent technical experience (preferred).
About the job
Owns the technical delivery of enterprise AI agents, from architecture and integration through evaluation, deployment, and iteration with customers and internal teams.
What you'll do
- Design, build, test, and deploy AI agent logic, integrations, guardrails, and supervisory controls.
- Define customer requirements and success criteria, troubleshoot failures, and drive technical delivery.
- Develop evaluation and regression-testing frameworks and relay customer feedback to improve the platform.
What they ask for
- 5+ years of relevant experience in a technical customer-facing role, such as solutions engineering, forward-deployed engineering, technical consulting, implementation engineering, or similar.
- Strong technical foundation, including writing code, working with APIs, and building and validating integrations end-to-end.
- Experience delivering production-grade customer solutions involving structured execution, testing, validation, and iteration.
- Ability to communicate with senior technical stakeholders, translate requirements into implementation plans, and drive delivery.
Nice to have
- Experience building with or around LLMs / AI agents, including prompting, evaluation, guardrails, tooling, or workflow design.
- Experience with enterprise SaaS integrations and security/compliance considerations; a Computer Science, Engineering, or Math degree, or equivalent technical experience.
Pay
$175K – $230K (base salary)
Tools
LLMs, APIs, CRMs
AI focus
Build and deploy enterprise AI agents, including agent logic, guardrails, integrations, evaluation, and reliability improvements.
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