← Вакансіі

AI App and Server Development

Бюджэт: $500.0 FIXED / ⭐ 0.00 (0) Sweden

php, api-integration, android-app-development, mobile-app-development, ios-development, python

Пераважная кваліфікацыя

  • Вопыт: Сярэдні
  • Англійская: Гутарковы
  • Job Success: 80%+
  • пераважны Rising Talent
We need a developer to build an AI-powered app and server for a new project. The work includes creating the backend, setting up the AI integration, and supporting the overall system so it runs smoothly. You should be comfortable handling both the server-side logic and the app components, and able to help shape the solution from the start. If you have experience building reliable, scalable systems and can work independently, we’d like to hear from you. More description: Wee need help creating an Ai server foundation for future app and development. Please take a look at the description below and send me your offer and when is this expect to be done. For information this is only phase one, theres another phase when the foundtion is done. Its importet that this AI server/app is open for development, API, and can connect to other platforms We want to build an AI server/platform that will serve as the foundation for future AI applications, including two specific projects we will develop later. The goal is to build the AI environment from the ground up using open-source/open-weight models and technologies, such as Llama, Qwen, Kimi, DeepSeek, Mistral, etc., while also keeping the possibility to integrate commercial models such as ChatGPT and Claude through APIs. The final platform should be available as both a web and app interface, with features inspired by Claude/Lovable, including AI-assisted coding, app and website development, visualisation of web designs, integrations with other applications and AI agents. A key part of the project is machine learning and fine-tuning, allowing the system to improve through our own datasets and future training, together with RAG, API integrations, automation and agent-based workflows. The AI server should therefore be designed as a scalable and model-independent platform, allowing us to add new models, capabilities and applications over time without rebuilding the entire system.
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