Project Title: Private AI-Native App Orchestrator (Founding Squad)
Full-Stack 🔄AI/ML 🤖DevOps ☁️API 🔌Systems 🛠️
A
Aze
Verified
Project Description: Building a high-performance internal platform that converts natural language into full-stack, deployed applications with native SaaS integrations. Initially private, with a roadmap for a public commercial launch.
Required Skills: Python, AI Agents (LangChain/CrewAI), Model Context Protocol (MCP), Docker/DevOps, API Architecture.
Budget Range: Profit-sharing model. All gains from the official public launch will be shared equally among the team.
Timeline: 2-3 months for the production-ready internal version.
Contact Method: DM with portfolio/Github.
Additional Details: 4-person squad. I handle UI/UX. French-speaking candidates only for high-speed coordination.
We are developing a high-performance platform designed to automate the creation of full-stack applications. The system converts natural language prompts into functional software by architecting code, managing databases, and integrating third-party services in real-time.
The project will be hosted on a private server for our team's exclusive use during the build phase. Once the core engine is stabilized, we will transition to a public launch. All profits generated will be shared equally among the four team members.
I am personally handling the UI/UX and Frontend development. I need three French-speaking experts:
* AI Agent Architect: Designing reasoning logic (ReAct/CoT) so the LLM acts as an autonomous engineer. Tech: Python, SOTA models (DeepSeek, Llama 3).
* Integration & MCP Specialist: Implementing the Model Context Protocol (MCP) to bridge the AI with GitHub, Slack, Google Sheets, etc. Tech: REST APIs, OAuth, Node.js/Python.
* System & Runtime Engineer: Creating a secure, automated sandboxing system. Managing VPS deployment and isolated containers. Tech: Docker, Linux, Zero Trust.
This is a developer-centric project with no marketing overhead. We are building a powerful tool for ourselves first, with a clear objective of a commercial launch and a shared-gain model.
Required Skills: Python, AI Agents (LangChain/CrewAI), Model Context Protocol (MCP), Docker/DevOps, API Architecture.
Budget Range: Profit-sharing model. All gains from the official public launch will be shared equally among the team.
Timeline: 2-3 months for the production-ready internal version.
Contact Method: DM with portfolio/Github.
Additional Details: 4-person squad. I handle UI/UX. French-speaking candidates only for high-speed coordination.
We are developing a high-performance platform designed to automate the creation of full-stack applications. The system converts natural language prompts into functional software by architecting code, managing databases, and integrating third-party services in real-time.
The project will be hosted on a private server for our team's exclusive use during the build phase. Once the core engine is stabilized, we will transition to a public launch. All profits generated will be shared equally among the four team members.
I am personally handling the UI/UX and Frontend development. I need three French-speaking experts:
* AI Agent Architect: Designing reasoning logic (ReAct/CoT) so the LLM acts as an autonomous engineer. Tech: Python, SOTA models (DeepSeek, Llama 3).
* Integration & MCP Specialist: Implementing the Model Context Protocol (MCP) to bridge the AI with GitHub, Slack, Google Sheets, etc. Tech: REST APIs, OAuth, Node.js/Python.
* System & Runtime Engineer: Creating a secure, automated sandboxing system. Managing VPS deployment and isolated containers. Tech: Docker, Linux, Zero Trust.
This is a developer-centric project with no marketing overhead. We are building a powerful tool for ourselves first, with a clear objective of a commercial launch and a shared-gain model.