Applied AI Engineer: Solutions & Infrastructure

Flowcode•New York, NY

5h•$120,000 - $170,000

About The Position

Flowcode is hiring an Applied AI Engineer to build and operate the systems that power its personalization platform and help deliver customer campaigns, hubs, and experiences at scale. The role involves extending an AI prebuild engine through Flowcode’s API and MCP tools, connecting the engine to customer data, and making launches reliable with minimal manual work. The engineer will collaborate with AI product, engineering, customer success, operations, and customer teams.

Requirements

At least 1–3 years building with AI and backend systems through professional work, side projects, or independent projects.
Fluency with agentic coding tools such as Claude Code or Cursor, with the ability to review, debug, and fix their output.
Strong working knowledge of APIs, MCP servers, webhooks, databases, and cloud infrastructure.
Ability to build full-stack when needed, with a preference for backend work.
Experience with data from CRMs, CDPs, and analytics tools, and sound judgment about privacy and security.
A habit of making systems observable, tested, and easy for others to run.
Ability to discuss technical tradeoffs with customers and non-technical teams.
A portfolio of services, integrations, agents, or tools that people rely on.
Bias toward speed and ownership.

Responsibilities

Extend the AI prebuild engine using API and MCP tools to automate more of each customer launch.
Design data pipelines, webhooks, and background jobs that operate reliably across many accounts.
Scope and deliver technical onboarding with customer teams, from the initial call through production.
Add monitoring, testing, and alerting to identify problems before they affect customers.
Build agents and automations that remove manual steps from operations and customer success.
Document systems and share recurring patterns with product and engineering teams to inform platform features.