AI Systems Developer; Vibe Coder

Role Overview

We are looking for an AI Systems Developer — known internally as a Vibe Coder — who can turn high‑level ideas into working, connected systems. This is not a traditional software engineering role. The company provides the concept and direction. Your job is to build — using AI‑assisted development tools (90% of the workflow) such as ChatGPT, Claude, and Cursor — and to build things that actually work within what already exists.

Before writing any code, you are expected to understand the existing infrastructure and how the pieces connect. That context is what makes the difference between a system that integrates cleanly and one that creates more problems than it solves.

• Use AI coding assistants (ChatGPT, Claude, Cursor) to architect, generate, and iterate on code
• Review, debug, and refine AI‑generated output to ensure reliability, security, and correctness
• The goal is always a delivered, functional system — not a well‑written one that does not connect

• Connect new tools to existing platforms through APIs, authentication systems, and data pipelines
• Build connectors and sync processes between internal and external systems
• Never deliver a solution that requires manual bridging between disconnected parts

• Build scripts, bots, and automation services that eliminate manual operational processes
• Implement background job processing, task queues, and scheduled automation

• Deploy and manage applications using modern platforms such as Vercel, Git Hub, and Supabase
• Maintain clean version control and deployment pipelines through Git Hub — every project tracked, versioned, and recoverable
• Use Vercel for frontend and serverless deployments with proper environment management
• Use Supabase for database, authentication, and backend services where applicable
• Configure reverse proxies, service routing, and secure endpoints on self-hosted environments where required

• Occasionally identify manual processes or inefficiencies that could be improved
• Bring forward a practical proposal when a clear opportunity is spotted

• Read and understand the existing infrastructure before writing any code
• Have experience with AI‑assisted development as a primary workflow, not a supplement
• Be comfortable building across multiple layers — backend, infrastructure, automation, and integrations
• Be familiar with modern deployment workflows — Git Hub, Vercel, Supabase
• Have strong debugging instincts and system‑level thinking
• Ask the right questions early — about how things connect and what will break
• Over time, bring ideas to the table — not just execute them