
URGENT - AI Workflow & White-Label Platform Developer
- or -
Post a project like this£110(approx. $148)
- Posted:
- Proposals: 15
- Remote
- #4448214
- Expired
Full-Stack Web & Mobile App Developer With AI Integration & Automation Expertise
Award Winning - N8N | WordPress | Shopify | Laravel | React | Node | CSR/VA Expert
Expert Web Developer - N8N, Wordpress, Shopify, Opencart, Laravel, Vue, React, PHP

♛ Professional UK No. 1 ♛ Software Programming Agency , Specialised in ✔ Magento ✔ Wordrpess ✔ Shopify ✔ OpenCart ✔ Laravel ✔ Android ✔ iOS ✔ HTML\CSS✔Javascript\jQuery✔Responsive Design, React Js

PPH's TOP Notch Website & Mobile App Developer & Designer(9+ yrs) ✔ Wordpress ✔ Shopify ✔ OpenCart ✔ Laravel ✔ PHP ✔ React Native ✔ Android ✔ iOS ✔ HTML/CSS✔Javascript/jQuery✔Responsive Design✔ASP.net




282495612903820121417978579517117815942499006559836128449071343015118184561190650610749830
Description
Experience Level: Expert
I am seeking a highly skilled and motivated Developer to build a proprietary, white-label software platform. This platform will serve as a unified front-end interface, integrating a series of existing AI tools (via API) to deliver a seamless, complete solution to our B2B clients. I am looking for a tech partner for an ongoing partnership to help me with some solutions,
Key Responsibilities
Front-End Development: Design and build a responsive, modern and intuitive white-label user interface (UI) that can be easily branded with client logos and colors.
API Integration: Connect and manage APIs from various third-party AI tools (e.g., for email, content generation, data scraping, etc.) to ensure reliable, real-time data exchange.
Workflow Development: Architect, implement, and maintain complex, multi-step automation workflows where different AI tools interact with each other to achieve a final output.
Data Management: Implement robust data handling and security protocols to manage the flow of information between the front-end, the integration layer, and the third-party APIs.
Scalability & Performance: Ensure the platform is scalable to handle multiple client accounts and high-volume usage without performance degradation.
Documentation: Create clear technical documentation for the platform's architecture, integrations, and deployment process.
Required Technical Skills & Experience
The ideal candidate must demonstrate proficiency in the following areas:
1. Integration & Automation Expertise (CRITICAL)
Workflow Automation Tools: Deep, proven experience with low-code/no-code platforms like n8n or Zapier/Make for orchestrating multi-step workflows. This is crucial for connecting the various AI tools.
API Mastery: Expert-level understanding of REST and GraphQL APIs for integrating third-party services.
Data Scraping/Enrichment (Plus): Experience with tools like Apify or Clay for data collection, which is often a component of AI-powered lead generation packages.
2. Full-Stack Development
Front-End: Strong proficiency in modern JavaScript frameworks (e.g., React, Vue, or Angular) to build the responsive, white-label interface.
Back-End: Experience with a back-end language/framework (e.g., Node.js, Python/Django/Flask) for managing the application logic, user authentication, and serving the front-end.
Database: Familiarity with both SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB) databases.
3. AI/ML Familiarity
LLM API Integration: Experience working directly with large language model APIs (e.g., OpenAI, Claude, Gemini) for custom output generation within workflows.
Contextual AI (RAG): Understanding of Retrieval-Augmented Generation (RAG) principles for feeding proprietary data into AI models to create contextual tools (e.g., a "Glaze AI" for contract generation).
Soft Skills & Business Acumen
System Thinking: The ability to visualize and map complex processes and data flows into logical, efficient workflows.
Problem-Solving: A strong, systematic approach to debugging complex, multi-tool integration issues.
Communication: Excellent communication skills to translate business requirements into technical specifications and explain technical concepts clearly.
Key Responsibilities
Front-End Development: Design and build a responsive, modern and intuitive white-label user interface (UI) that can be easily branded with client logos and colors.
API Integration: Connect and manage APIs from various third-party AI tools (e.g., for email, content generation, data scraping, etc.) to ensure reliable, real-time data exchange.
Workflow Development: Architect, implement, and maintain complex, multi-step automation workflows where different AI tools interact with each other to achieve a final output.
Data Management: Implement robust data handling and security protocols to manage the flow of information between the front-end, the integration layer, and the third-party APIs.
Scalability & Performance: Ensure the platform is scalable to handle multiple client accounts and high-volume usage without performance degradation.
Documentation: Create clear technical documentation for the platform's architecture, integrations, and deployment process.
Required Technical Skills & Experience
The ideal candidate must demonstrate proficiency in the following areas:
1. Integration & Automation Expertise (CRITICAL)
Workflow Automation Tools: Deep, proven experience with low-code/no-code platforms like n8n or Zapier/Make for orchestrating multi-step workflows. This is crucial for connecting the various AI tools.
API Mastery: Expert-level understanding of REST and GraphQL APIs for integrating third-party services.
Data Scraping/Enrichment (Plus): Experience with tools like Apify or Clay for data collection, which is often a component of AI-powered lead generation packages.
2. Full-Stack Development
Front-End: Strong proficiency in modern JavaScript frameworks (e.g., React, Vue, or Angular) to build the responsive, white-label interface.
Back-End: Experience with a back-end language/framework (e.g., Node.js, Python/Django/Flask) for managing the application logic, user authentication, and serving the front-end.
Database: Familiarity with both SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB) databases.
3. AI/ML Familiarity
LLM API Integration: Experience working directly with large language model APIs (e.g., OpenAI, Claude, Gemini) for custom output generation within workflows.
Contextual AI (RAG): Understanding of Retrieval-Augmented Generation (RAG) principles for feeding proprietary data into AI models to create contextual tools (e.g., a "Glaze AI" for contract generation).
Soft Skills & Business Acumen
System Thinking: The ability to visualize and map complex processes and data flows into logical, efficient workflows.
Problem-Solving: A strong, systematic approach to debugging complex, multi-tool integration issues.
Communication: Excellent communication skills to translate business requirements into technical specifications and explain technical concepts clearly.
Georgia B.
0% (0)Projects Completed
-
Freelancers worked with
-
Projects awarded
0%
Last project
22 Jan 2026
United Kingdom
New Proposal
Login to your account and send a proposal now to get this project.
Log inClarification Board Ask a Question
-
There are no clarification messages.
We collect cookies to enable the proper functioning and security of our website, and to enhance your experience. By clicking on 'Accept All Cookies', you consent to the use of these cookies. You can change your 'Cookies Settings' at any time. For more information, please read ourCookie Policy
Cookie Settings
Accept All Cookies