Agent Deployment Engineer

Sourced from simplify.jobs

Decagon is hiring an Agent Deployment Engineer to own end-to-end execution of AI agent builds for enterprise customers. You will design agentic logic, engineer guardrails, build integrations with customer systems, and validate agent performance at scale. The role is highly technical and customer-facing, partnering with senior stakeholders and internal engineering teams. This is an in-office position in San Francisco.

• Own end-to-end architecture and execution of AI agent builds for enterprise customers
• Design and engineer core agentic logic to optimize quality, reliability, and correctness
• Engineer and validate layered guardrails and supervisory controls
• Architect, build, and test integrations with customer systems such as data pipelines, CRMs, and ticketing systems
• Interface with senior technical stakeholders to define success criteria and drive delivery
• Diagnose and resolve probabilistic and technical failures via root-cause analysis
• Design evaluation and regression-testing frameworks to validate agent behavior
• Translate customer needs into internal documentation and feedback loops with Engineering

• 5+ years of experience in a technical customer-facing role such as solutions engineering, forward-deployed engineering, or technical consulting
• Strong technical foundation with coding, APIs, and end-to-end integration work
• Experience delivering production-grade customer solutions with testing and iteration
• Ability to communicate clearly with senior technical stakeholders and translate requirements into implementation plans
• Comfort working in fast-moving, ambiguous environments

• Experience building with or around LLMs and AI agents (prompting, evaluation, guardrails, tooling)
• Experience with enterprise SaaS integrations and security/compliance considerations
• Computer Science, Engineering, or Math degree or equivalent technical experience
• Strong product instinct with PRD writing and success metrics