Agent Deployment Engineer
$175k - $230k • San Francisco • FullTime
Posted 7mo ago
About the job
Decagon is seeking an Agent Deployment Engineer to join their specialized technical delivery team. This role is responsible for the end-to-end execution of AI agent builds for strategic enterprise customers. You will own the hands-on implementation work, from systems design and scoping through to production deployment, ensuring agents perform reliably at scale. This is a highly technical, customer-facing position where you will translate customer requirements into build plans, interface with senior technical stakeholders, and drive the delivery of AI agents that significantly impact business outcomes. You will also collaborate closely with internal teams to create feedback loops, surface platform gaps, and influence the evolution of Decagon's agent-building platform based on real customer needs.
Responsibilities
- Own end-to-end architecture and execution of AI agent builds for enterprise customers.
- Design and engineer core agentic logic for optimal quality, reliability, and correctness.
- Engineer and validate layered guardrails and supervisory controls for safe and predictable agent performance.
- Architect, build, and test integrations with customer systems.
- Interface with senior technical stakeholders at customers to define success criteria and system requirements.
- Diagnose, debug, and resolve probabilistic and technical failures.
- Design evaluation and regression-testing frameworks to validate agent behavior.
- Translate customer needs into internal documentation and drive platform improvements.
- Partner with APMs, Engineering, Design, and Go-To-Market teams to deliver best-in-class agent builds.
Requirements
- 5+ years of relevant experience in a technical customer-facing role.
- Strong technical foundation: comfortable writing code, working with APIs, and building/validating integrations.
- Experience delivering production-grade customer solutions requiring structured execution, testing, 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.
- Experience building with or around LLMs / AI agents (prompting, evaluation, guardrails, tooling, workflow design).
- Experience with enterprise SaaS integrations and associated security/compliance considerations.
- A 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.
Benefits
- Offers Equity
- Medical, Dental, and Vision benefits for you and your family
- Life Insurance and Disability Benefits
- Retirement Plan (e.g., 401K, pension)
- Parental Leave
- Fertility and family building benefits through Carrot