Senior AI Engineer

What You'll Build

• Agent orchestration workflows across growth use cases — automating the decisions and executions that today require human intervention across paid media, lifecycle messaging, organic content, conversion optimization, incentives, and other growth levers
• Integrations between our AI reasoning layer, growth execution platforms, data infrastructure, experimentation systems, and analytics tools
• Shared agent infrastructure components — reusable workflow patterns, prompt libraries, and integration clients that every growth workstream draws from
• Monitoring and audit logging — ensuring every agent action is traceable, versioned, and queryable for governance and continuous improvement
• Creative and content generation pipelines — automating the brief-to-variant-to-distribution loop across growth channels

What You'll Own

• Build velocity across new growth workstreams — you are the person who gets workflows from spec to production
• Integration reliability — connections between systems work, handle errors gracefully, and are maintained as tools evolve
• Workflow documentation — every workflow you build is documented clearly enough that a domain specialist can understand, tune, and improve it without your involvement

Requirements

• 3+ years building automation workflows, integrations, or agentic systems — using AI orchestration platforms, workflow automation tools, or equivalent technologies
• Strong understanding of API integrations — REST, webhooks, authentication patterns, and error handling at scale
• Experience working with LLM APIs — prompt engineering, structured outputs, tool use, and agent chaining
• Comfort working from a spec — you can take a workflow design and build it accurately without the architect in the room
• Growth or marketing context — you understand what you’re building toward, not just how to build it
• Speed and quality in balance — you ship fast and you care what you ship

Nice to Haves

• Experience with paid media platforms, marketing automation, CRM, or lifecycle messaging systems
• Familiarity with data warehouse query patterns and event tracking infrastructure
• Background in a high-growth fintech, consumer tech, or multi-product technology environment
• Experience designing multi-agent architectures or complex agent-to-agent workflows