Decagon
Agent Deployment Engineer
About this role
Decagon is hiring a Customer Engineer, Agent Builder to own end-to-end delivery of enterprise AI agent implementations. You'll configure and deploy production-grade conversational AI agents for major customers, working across technical requirements, integrations, and iterative refinement.
What you'll do
- Execute full lifecycle AI agent builds from scoping through launch and optimization for enterprise customers
- Write agent configuration artifacts and tune behavior for quality, reliability, and business impact
- Set up, test, and validate customer system integrations including custom tools and workflows
- Configure guardrails to ensure safe, compliant, and predictable agent performance
- Interface with senior customer stakeholders to define requirements and drive delivery timelines
- Partner with internal teams (APMs, Engineering, Design, GTM) to influence platform improvements based on real-world customer needs
What they're looking for
- API integration and end-to-end technical validation
- Code writing and software development fundamentals
- LLM/AI agent building (prompting, evaluation, guardrails, workflow design)
- Customer communication and stakeholder management
- Requirements gathering and translation to implementation plans
- Production-grade solution delivery with testing and iteration
- Ability to work in fast-moving, ambiguous environments
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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 DecagonLikely interview questions
- Walk us through a time you owned end-to-end delivery of a technical solution for an enterprise customer—what was your role in scoping, execution, and validation?
- Describe your experience working with APIs and integrations. How have you approached testing and validating integrations in production environments?