AI Workflow Engineer

Posted 1mo ago

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Build our agentic SDLC pipeline
Design, implement, and operate agentic workflows across the development lifecycle
Level up developer experience with modern AI integrations
Engineer grounded, trustworthy systems with retrieval-grounded and context-aware AI
Establish governance and guardrails for agentic AI
Formalize and scale what works into repeatable frameworks and internal platforms
Champion the practice and evangelize AI adoption across the team

2–3+ years of hands-on experience building with AI/LLM systems in production settings
2+ years designing and operating agentic workflows and pipelines including multi-step agent orchestration, tool use, evaluation, and governance
Experience embedded in modern development teams practicing GitOps and CI/CD
Working knowledge of grounded AI patterns: RAG, context engineering, structured outputs, and evaluation/observability for LLM systems
Solid software engineering fundamentals in JavaScript/TypeScript and/or Python
Comfort working in and around our stack (Angular/React frontends on Express web applications)
Genuine alignment with continuous delivery culture (Allspaw/Hammond, Phoenix Project)
A self-starter's bias for action
Strong communication skills
Must be authorized to work in the United States

Experience with agent frameworks and protocols (e.g., LangGraph/LangMem, Claude Agent SDK, MCP, OpenAI Agents)
Experience with AI coding tools (Claude Code, Copilot, Cursor)
Building developer platforms, internal tooling, or platform engineering / DevEx functions
DORA-style delivery metrics and engineering analytics
Familiarity with AI governance frameworks (NIST AI RMF) and secure SDLC practices

Skills