Enterprise AI Agent Deployment Engineer

Decagon

Greater London

Hybrid

GBP 90,000 - 130,000

Full time

14 days+
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Benefits offered by this job

Medical Dental Vision benefits
Life Insurance
Disability Benefits
Retirement Plan
Parental Leave
Fertility benefits via Carrot
Wellness stipend
Daily lunches
25 days statutory leave

Job summary

Decagon in London is seeking an Agent Deployment Engineer to own end-to-end AI agent builds for strategic customers. This is a highly technical delivery role where you translate requirements into build plans and deliver agents that scale enterprise-grade performance.

You will work with Agent PMs, Engineering, and GTM to surface gaps, define success criteria, and drive platform improvements. The ideal candidate has 5+ years in a technical customer-facing role, strong coding/API skills, and

Qualifications

  • 5+ years in a technical customer-facing role.
  • Strong foundation: code, APIs, end-to-end integrations.
  • Experience delivering production-grade solutions with testing and iteration.
  • Ability to communicate with senior technical stakeholders.
  • Comfort working in fast-moving, ambiguous environments.

Responsibilities

  • Own end-to-end architecture and deployment of AI agent builds for enterprise customers, from systems design and initial scoping through implementation, evaluation, and production deployment.
  • Design and engineer the core agentic logic governing agent behavior, applying engineering principles to optimize quality, reliability, and correctness across non-deterministic model outputs.
  • Engineer and validate layered guardrails and supervisory controls to ensure safe, compliant, and predictable agent performance across real-world scenarios.
  • 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.
  • Interface with senior technical stakeholders at customers to define success criteria and system requirements, and drive technical delivery against timelines.
  • Diagnose, debug, and resolve both probabilistic and technical failures through root-cause analysis of execution traces, error logs, and model behavior.
  • Design evaluation and regression-testing frameworks to validate agent behavior against ground truth and guard against performance drift.
  • Translate customer needs into clear internal documentation and run tight feedback loops with Engineering to drive platform improvements.
  • Partner closely with APMs, Engineering, Design, and Go-To-Market teams to deliver consistent, repeatable, best-in-class agent builds.

Skills

Technical communication
Code proficiency
APIs & integrations
Customer-facing delivery

Education

CS/Engineering/Math degree

Tools

APIs
CRM integrations
Data pipelines

Job description

Decagon in London is seeking an Agent Deployment Engineer to own end-to-end AI agent builds for strategic customers. This is a highly technical delivery role where you translate requirements into build plans and deliver agents that scale enterprise-grade performance.

You will work with Agent PMs, Engineering, and GTM to surface gaps, define success criteria, and drive platform improvements. The ideal candidate has 5+ years in a technical customer-facing role, strong coding/API skills, and

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