Enterprise AI Agent Builder & Customer Engineer

davidjoseph-co; San Francisco (CA); On-site; USD 175,000 - 230,000; Full time

Benefits offered by this job

Competitive salary range

Competitive equity

Visa sponsorship (H-1B)

Five days in-office

Job summary

Decagon is seeking Customer Engineers and Agent Builders to own end-to-end AI agent builds for enterprise customers, from scoping through launch and iteration. The role blends technical delivery and customer-facing work, with a 50/50 or 60/40 split between technical and customer tasks.

You will lead, write artifacts, configure guardrails, and manage integrations while partnering with PMs, Engineering, Design, and GTM teams to ensure successful deployments.

Qualifications

• 3–7 years of technical customer-facing experience.
• Strong Python proficiency (hard requirement).
• End-to-end API integration experience.
• Location: San Francisco, NY, Toronto, or London with 5 days in-office.

Responsibilities

• Lead end-to-end execution of AI agent builds for enterprise customers from scoping through launch and iteration.
• Write and maintain agent-building artifacts and configure agent behavior for quality and outcomes.
• Configure and validate guardrails for safe, compliant performance.
• Set up, test, and validate customer integrations (ticketing systems and similar).
• Interface with senior technical stakeholders to define success criteria and drive delivery.
• Collaborate with Agent PMs, Engineering, Design, and GTM teams to deliver repeatable builds.

Skills

Python

API integration

Customer-facing experience

End-to-end delivery

Education

CS/Engineering/Math degree

Tools

Ticketing systems

CRM integration

Data pipelines

Job description

Decagon is seeking Customer Engineers and Agent Builders to own end-to-end AI agent builds for enterprise customers, from scoping through launch and iteration. The role blends technical delivery and customer-facing work, with a 50/50 or 60/40 split between technical and customer tasks.

You will lead, write artifacts, configure guardrails, and manage integrations while partnering with PMs, Engineering, Design, and GTM teams to ensure successful deployments.