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Salary: AUD 200,000 - 270,000 / annual
Decagon is a conversational AI platform enabling enterprises to deploy AI agents for customer support and operations. The company is backed by top-tier investors including a16z, Accel, and Bain Capital Ventures, and serves industry leaders like Avis Budget Group, Block's Cash App, Chime, and Oura Health.
Decagon is establishing a specialized Agent Deployment Engineering organization—a technical delivery team responsible for end-to-end execution of AI agent builds. This role sits at the intersection of technical depth and customer partnership.
As an Agent Deployment Engineer, you will own the complete lifecycle of AI agent implementations for strategic enterprise customers. You'll be responsible for systems design, architecture, implementation, evaluation, and production deployment. Key responsibilities include:
- Design and engineer core agentic logic, 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.
- Architect, build, and test integrations with customer systems (CRMs, ticketing systems, data pipelines), including building tools, APIs, and workflows for reliable deployments at scale.
- Interface with senior technical stakeholders at customers to define success criteria, system requirements, and drive delivery against timelines.
- Diagnose 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 and guard against performance drift.
- Translate customer needs into internal documentation and drive platform improvements through tight feedback loops with Engineering.
- Partner with Agent PMs, Agent Success, Engineering, Design, and GTM teams to deliver repeatable, best-in-class agent builds.
This is a highly technical, customer-facing delivery role ideal for someone who thrives in fast-moving environments, enjoys shipping customer-facing technical work, and can balance hands-on execution with structured thinking.
REQUIREMENTS:
- 5+ years of relevant experience in a technical customer-facing role (solutions engineering, forward-deployed engineering, technical consulting, implementation engineering, technical product/PM, or similar).
- Strong technical foundation: comfortable writing code, working with APIs, and building/validating integrations end-to-end.
- Experience delivering production-grade customer solutions requiring structured execution, testing/validation, and iteration.
- Ability to communicate clearly with senior technical stakeholders, translate requirements into implementation plans, and drive delivery.
- Comfort working in fast-moving, ambiguous environments where you shape solutions as much as you implement them.
PREFERRED:
- Experience building with or around LLMs/AI agents (prompting, evaluation, guardrails, tooling, workflow design).
- Experience with enterprise SaaS integrations (ticketing systems, CRM, data pipelines) and associated security/compliance considerations.
- Computer Science, Engineering, or Math degree, or equivalent technical experience.
- Strong product instinct: ability to write crisp PRDs, define success metrics, and contribute customer insight back into product roadmap.
About Decagon
AI / Data / Infrastructure; SaaS / Enterprise Software — AI agents for customer support and enterprise operations.
