Staff Software Engineer owning architecture and delivery of LLM-powered agentic workflows for marketing content creation, publishing, and reliability at scale. Requires 12+ years experience building production LLM systems, human-in-the-loop designs, stakeholder collaboration, and mentoring.
198k – 273k/yr
On-site12+ YOEML Engineering
About the role
Impact
Own the architecture and delivery of agentic workflows enabling marketing to self-serve content creation and publishing across blogs, landing pages, microsites, and social.
Work directly with marketing stakeholders to understand workflows, define quality criteria, and build trusted tools.
Partner on CMS architecture to support agent read/write workflows and ensure structured content for AI-driven discovery.
Build and own the agent reliability system: define output quality criteria, implement eval suites, behavioral regression testing, and feedback loops based on marketer feedback.
Architect human-in-the-loop review systems including proposal/commit separation, diff-based review UI, approval routing, notifications, and audit logging.
Encode brand, legal, and compliance constraints as enforceable guardrails in agent workflows.
Partner to ensure agent-generated content meets surface quality and brand standards.
Mentor and grow the Senior Engineer on the team, setting standards for production-grade agentic engineering.
Requirements
12+ years of software engineering experience with a track record of technical ownership on production systems.
Hands-on experience building and operating LLM-powered systems in production.
Strong instinct for designing quality and evaluation frameworks for probabilistic or generative outputs.
Strong understanding of human-in-the-loop system design: approval workflows, review interfaces, audit logging, and guardrail implementation.
Deep understanding of how agents interact with content systems, publishing pipelines, and web infrastructure including CMS, deployment pipelines, and edge delivery.
Ability to work directly with non-engineering stakeholders to translate workflow requirements into agent architecture.
Experience mentoring engineers and elevating technical execution across a team.
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