Enterprise AI Agent Deployment Engineer

Mat Vin

Greater London

Hybrid

GBP 90,000 - 130,000

Full time

17 hours ago
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Benefits offered by this job

Medical, Dental, and Vision benefits
Life Insurance and Disability Benefits
Fertility and family building benefits
Monthly wellness stipend
Daily lunches and snacks
Vacation policy with flexible take-as-
25 days statutory leave (UK)

Job summary

Decagon is hiring an Agent Deployment Engineer in London to lead end-to-end AI agent builds for enterprise customers. You will own the implementation, design core agent logic, and ensure reliable, scalable deployments across client environments.

Join a fast-moving team delivering production-grade AI agents, with collaboration across Engineering, Product, and GTM to translate customer needs into robust deployments.

Qualifications

  • 5+ years of relevant experience in a technical customer-facing role.
  • Native or business-level fluency in English and French is required.
  • Strong technical foundation: comfortable writing code and working with APIs.

Responsibilities

  • Own end-to-end architecture and execution of AI agent builds for enterprise customers.
  • Design and engineer core agentic logic to optimize quality, reliability and correctness.
  • Engineer and validate guardrails and supervisory controls for safe agent performance.
  • Architect, build, and test integrations with customer systems and data pipelines.
  • Interface with senior technical stakeholders to define success criteria and drive delivery.
  • Diagnose, debug and resolve failures through root-cause analysis.
  • Design evaluation frameworks to validate agent behavior against ground truth.

Job description

Decagon is hiring an Agent Deployment Engineer in London to lead end-to-end AI agent builds for enterprise customers. You will own the implementation, design core agent logic, and ensure reliable, scalable deployments across client environments.

Join a fast-moving team delivering production-grade AI agents, with collaboration across Engineering, Product, and GTM to translate customer needs into robust deployments.

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