Agent Deployment Engineer
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in New York, United States"), this listing's salary midpoint is about 61% higher. The offer still falls within the benchmark range (€2,208–€18,809). The listed pay band (€14,583–€19,167) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 6 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| All roles in New York, United States | €2,208/per month | €10,779/per month | €18,809/per month |
About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises to deploy AI agents that power personalized interactions across voice, chat, email, SMS, and every other channel. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values shape how we work: Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle. About the Team We’re creating an Agent Deployment Engineering Org: a specialized technical delivery team responsible for end-to-end execution of AI agent builds. Agent Deployment Engineers own the hands-on work required to deliver best-in-class agents—writing components, validating integrations, and ensuring agents perform reliably at scale. This team is technical and customer-facing. About the Role As an Agent Deployment Engineer, you will be responsible for end-to-end execution of AI agent builds for strategic customers. This is a highly technical delivery role where you will own the implementation work to launch and scale enterprise-quality agents—partnering with customers and internal teams to define success, translate requirements into build plans, and deliver agents that meaningfully impact the customer’s business. You’ll work closely with Agent PMs, Agent Success, Engineering, and Go-To-Market teams to deliver best-in-class agent builds. Your background looks something like this Have 5+ years of relevant experience in a technical customer-facing role, strong technical foundation: code, APIs, integrations, and experience delivering production-grade customer solutions. Even better if you have experience with LLMs/AI agents and enterprise SaaS integrations, a CS/Engineering/Math degree, and strong product instincts. Compensation: $175K – $230K • Offers Equity Benefits: Medical, Dental, Vision; Life and Disability; Retirement; Parental Leave; Fertility benefits; Wellness stipend; Daily lunches; Generous vacation policy. Apply for this Job
Job Details
Responsibilities
- Own end-to-end architecture and execution of AI agent builds
- Design and engineer core agent logic
- Engineer guardrails and supervisory controls
- Architect, build, and test integrations with customer systems
- Interface with senior stakeholders to define success criteria
- Diagnose and resolve probabilistic and technical failures
- Design evaluation and regression-testing frameworks
- Translate customer needs into internal documentation
- Partner with cross-functional teams to deliver agent builds
Requirements
- 5+ years of relevant experience in a technical customer-facing role
- Strong technical foundation: coding, APIs, integrations
- Experience delivering production-grade customer solutions
- Ability to communicate with senior technical stakeholders
- Comfort in fast-moving environments
Skills & Technologies
Education Level
No degree required
| Location | Active listings |
|---|---|
| Remote - Denmark | 1 |
| Remote - Norway | 1 |
| Remote - Global | 1 |
| Remote - Iceland | 1 |
| Remote - Sweden | 1 |
| Remote - Finland | 1 |
| Role type | Active listings |
|---|---|
| Solutions Engineer | 1 |
| Strategic Solutions Engineer | 1 |
| Role level | Active listings |
|---|---|
| Senior | 2 |
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