Skip to main content

Decagon

Agent Deployment Engineer

San Francisco$175k–$230kfulltimemidAdded 1 month ago

About this role

Decagon seeks a Customer Engineer to lead end-to-end delivery of enterprise AI agent implementations. You'll configure agents, validate integrations, and partner with customers and internal teams to launch production-grade conversational AI solutions that drive measurable business impact.

What you'll do

  • Own complete AI agent builds from scoping through launch and ongoing iteration for strategic customers
  • Configure agent behavior, prompts, and guardrails to ensure quality, reliability, and compliance
  • Set up and validate customer integrations with systems like ticketing platforms
  • Interface with senior customer stakeholders to define requirements and success metrics
  • Document implementation artifacts and create feedback loops between customers and engineering
  • Collaborate with product, engineering, and go-to-market teams on platform improvements

What they're looking for

  • Technical customer-facing delivery (solutions engineering or implementation engineering)
  • Code writing and API integration experience
  • Production solution delivery with testing and validation
  • Clear communication with technical stakeholders
  • LLM/AI agent experience (prompting, evaluation, guardrails preferred)
  • Fast-paced problem-solving in ambiguous environments
  • Integration and workflow design
  • Structured project execution and documentation
Apply with Autofill

Opens the application — the Jobs AI extension fills it for you. Set up autofill

Opens the official application on the employer’s site. No login required.

Decagon

Decagon builds enterprise-grade conversational AI platforms that enable organizations to deploy AI agents for business impact. The company is hiring Strategic Solutions Engineers, Customer Engineers, Platform Engineers, and systems-focused engineers to deliver AI implementations, build internal infrastructure, and establish security practices across their growing platform.

View all jobs at Decagon

Likely interview questions

  • Walk us through a time you owned end-to-end delivery of a complex technical solution for an enterprise customer. How did you scope the work, validate integrations, and handle iteration?
  • Describe your experience working with LLMs, AI agents, or conversational AI. What have you built or configured, and how did you measure success?
Unlock all 7 questions free — and practice them live →