Developer (for AI Integration and Tech Stack Development)

Full-Stack Developer (for AI Integration and Tech Stack Development) Job Title: Full-Stack Developer for AI Integration and Tech Stack Development ([login to view URL], Milvus, Docker, n8n, etc.) Job Description: We are looking for an experienced Full-Stack Developer to help integrate and optimize our AI tech stack. This role requires experience in full-stack JavaScript development, machine learning integration, and backend architecture. You will be responsible for setting up, deploying, and automating AI systems, ensuring data management, and enhancing overall workflows. Key Responsibilities: • Develop and maintain both frontend and backend systems, ensuring that they are scalable and well-integrated. • Work closely with the team to implement the [login to view URL] framework for building full-stack JavaScript applications. • Integrate Milvus (vector database) for efficient storage and retrieval of high-dimensional data. • Develop backend systems using NestJS and implement API solutions. • Set up n8n for workflow automation and orchestration of multi-agent systems. • Deploy AI models using Docker and ensure proper containerization. • Work with the team to ensure that systems are efficient and can handle growing data needs. • Collaborate with other team members on cloud infrastructure, security, and scaling solutions. • Perform continuous optimization of AI workflows and pipelines to ensure improved performance and efficiency. • Monitor and tune database performance, with an emphasis on Milvus and other databases handling high-dimensional data. • Automate testing processes to ensure that newly integrated features are reliable and performant. • Implement robust security measures to maintain data integrity and privacy across the systems. • Develop capabilities for real-time data processing to enhance the responsiveness and usability of AI-driven systems. • Integrate third-party APIs to extend functionalities and improve system interoperability. • Provide ongoing support and maintenance for deployed applications, ensuring they remain functional and up-to-date. • Manage user access and permissions, ensuring only authorized individuals can access sensitive data and systems. • Plan and implement strategies to ensure system scalability to handle increasing amounts of data and user traffic. Requirements: • Proven experience in full-stack development, with strong expertise in JavaScript/TypeScript and frameworks like [login to view URL] and NestJS. • Solid understanding of Docker for containerization and deployment. • Experience integrating Milvus or other databases for handling high-dimensional data. • Knowledge of n8n or similar workflow automation tools. • Cloud infrastructure experience (preferably DigitalOcean or AWS). • Ability to write clean, maintainable, and scalable code. • Strong problem-solving skills and ability to collaborate effectively in a distributed team. Preferred: • Experience in integrating AI systems, deploying machine learning models, and using tools like BaseAI. • Familiarity with DevOps practices, especially in managing containerized applications. Budget: Competitive, negotiable based on experience. How to Apply: Please provide a portfolio or examples of projects you’ve worked on, especially those related to [login to view URL], NestJS, Docker, AI integrations, or n8n. The project is for a **Automation and ML** website, so the AI tools should cater specifically to this industry. The main goal of this AI integration is to improve operational efficiency and streamline workflows. The AI integration is partially developed, needing optimization and additional feature integration. The AI integration will primarily focus on streamlining and automating workflows. The expected delivery timeline for this project is between 1-3 months. The cloud infrastructure will be built using DigitalOcean. The developer will need to frequently collaborate with the team on a daily basis to ensure all integration and development tasks are aligned with project goals. Ensure deployment of specified AI models. The AI integration should provide enhanced data analytics features. law The AI integration should generate automated reports to keep stakeholders informed.