Decagon
Agent Deployment Engineer
$175K–$230K
San Francisco · On-site · Full-time · Posted Jan 20, 2026
- Experience
- 5+ years of relevant experience in a technical customer-facing role.
About the job
Owns the technical delivery of enterprise AI agent builds, from architecture and integration through evaluation, deployment, and ongoing improvement.
What you'll do
- Design, build, test, and deploy AI agent behavior, integrations, guardrails, and evaluation frameworks.
- Work with customers and internal teams to define requirements, deliver implementations, debug issues, and improve the platform.
- Document customer needs and drive reliable agent performance in production.
What they ask for
- 5+ years of relevant experience in a technical customer-facing role.
- Able to write code, work with APIs, and build and validate integrations end-to-end.
- Experience delivering production-grade customer solutions involving structured execution, testing, validation, and iteration.
- Able 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.
- Experience with enterprise SaaS integrations and associated security/compliance considerations.
Pay
$175K – $230K (USD, base salary)
Tools
LLMs, APIs, CRMs
AI focus
Build, configure, evaluate, and deploy enterprise AI agents; engineer agent logic, guardrails, integrations, and testing frameworks.
Model-written summary · the original posting is authoritative