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Results Digital

365 days ago

Full Stack Developer - AI Marketing Platform

ContractorWeb, Mobile & Software DevFull-Time

Job Overview

Key role details at a glance.

Salary

$2000 - 3000/monthly (USD)

Company location

United States

Work type

remote (Philippines)

Schedule type

flexible

Benefits & equipment

Equipment: candidate to use their own laptop

Job Description

Role context, responsibilities, and expectations.

📌 Summary

We’re building an internal web application that leverages AI to manage and analyze paid media campaigns and SEO at scale. As a Full Stack Developer, you’ll lead the architecture and development of a platform that connects to Google Ads, Facebook Ads, and client websites, automates data pipelines, and integrates with OpenAI to surface insights for our marketing team.

 

This role is ideal for a developer who thrives in startup-like environments and wants to help build a scalable product from the ground up.

 

đź§© Key Responsibilities

  • Build backend APIs to fetch data from Google Ads and Meta (Facebook) Ads via OAuth + APIs.
  • Store and structure data in a scalable format (PostgreSQL or NoSQL).
  • Integrate OpenAI’s GPT API for prompt-based data analysis and recommendations.
  • Build frontend dashboards and UX workflows using React, Next.js, or equivalent.
  • Set up automated daily data sync jobs, fail-safes, and system monitoring.
  • Implement account-based logic (multi-client, multi-platform architecture).
  • Collaborate with the AI Prompt Engineer to feed structured data into GPT-4.

 

🛠️ Tech Stack

  • Frontend: React, Next.js, TailwindCSS
  • Backend: Node.js (Express or Fastify) or Python (FastAPI)
  • Database: PostgreSQL, MongoDB, Redis
  • AI: OpenAI (GPT-4o), optional Pinecone for embeddings
  • APIs: Google Ads API, Facebook Ads API (Marketing API), Screaming Frog or custom crawlers
  • Infra: Vercel, Supabase, or AWS/GCP for scaling

 

âś… Requirements

  • 4+ years of full stack development experience
  • Experience with at least one Ads API (Google or Facebook)
  • Experience with OAuth 2.0 flows
  • Strong SQL and API design experience
  • Comfortable integrating with third-party AI APIs (OpenAI, LangChain, etc.)
  • Can take a product from whiteboard to MVP with minimal supervision

Application Requirements

What candidates need before applying.

You'll need to answer the following questions when applying:

1

If you were building an app that integrates with 20+ Google Ads accounts to fetch data daily, how would you structure the backend and database?

2

What approach would you take to build a scalable multi-client platform that integrates Google Ads, Facebook Ads, and OpenAI?

3

Have you worked with the Google Ads API or Meta Marketing API before? If so, describe what you built and your biggest challenge.

4

What’s your experience working with third-party APIs that require OAuth 2.0 (access token refresh, revocation, etc.)?

5

Have you integrated OpenAI (GPT-4) into any applications? If so, describe how you structured the prompts and how you handled token limits or retries.

6

If we gave you a JSON blob of Google Ads performance data, how would you structure it to be used effectively in a prompt to GPT-4?

7

We want a clean dashboard that can show metrics, GPT suggestions, and alert status. How would you build the frontend stack for this?

8

How would you implement a system that crawls landing pages and stores content for AI analysis — ensuring it's fast, doesn't get blocked, and scales?

9

How would you handle scaling when the app starts pulling daily data from 100+ accounts across multiple APIs?

10

How would you design the app to catch and log API failures (e.g., token expiration, rate limits, or 500 errors from Google or Meta)?

11

What’s the biggest system or project you’ve owned end-to-end? How did you structure the work and keep yourself on track?

12

If we gave you the freedom to choose the tech stack for this project, what would you use and why?

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