Applied AI Engineer: Solutions & Infrastructure

• 1-3+ years building with AI and backend systems, through work, side projects, or on your own.
• Fluency with agentic coding tools (e.g. Claude Code, Cursor), and enough depth to review, debug, and fix what they produce.
• Strong working knowledge of APIs, MCP servers, webhooks, databases, and cloud infrastructure.
• Comfort building full stack when needed, with a preference for the backend.
• Experience with data from CRMs, CDPs, and analytics tools, and good judgment about privacy and security.
• A habit of making systems observable, tested, and easy for others to run.
• The ability to talk through technical tradeoffs with customers and non-technical teams.
• A portfolio of services, integrations, agents, or tools that people rely on.
• A bias toward speed and ownership.

• Extend the AI prebuild engine on our API and MCP tools so more of each launch is created automatically.
• Design data pipelines, webhooks, and background jobs that hold up across many accounts at once.
• Scope and deliver technical onboarding with customer teams, from first call to production.
• Add monitoring, testing, and alerting so problems surface before customers see them.
• Build agents and automations that remove manual steps from operations and CS.
• Document your systems and share recurring patterns with the product and engineering teams so they can become platform features., The compensation range for this role is $120 - 170K plus equity and benefits. A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions.

Flowcode is a personalization platform that starts with a connection. It combines customer touchpoints, CRM and CDP data, routing, and real-time decisioning. We do much of the build work for customers, and we use AI to do it at scale. In this role you’ll build and run the systems underneath that work. You’ll extend the engine that prebuilds campaigns, hubs, and experiences through our API and MCP tools, connect it to customer data, and make it reliable enough that launches need little manual work. You’ll work with the AI product, engineering, customer success, and operations teams. We care about results more than credentials. What matters is that you can build working systems quickly with AI tools and show us what you’ve shipped.