AI Automation, LLM Integration, RAG & Full Stack Development for Internal Business Workflows
Budget: $20.0 - $20.0
HOURLY / PART_TIME
⭐ 5.00 (7)
United States
python, react-js, api-integration, machine-learning, database-design
## **Project Description**
I'm looking for an experienced Full Stack AI Developer to help build, enhance, and maintain AI-powered workflow automation for an internal business project. The work involves integrating Large Language Models (LLMs) into existing systems, implementing Retrieval-Augmented Generation (RAG) where appropriate, developing frontend and backend features, automating repetitive tasks, improving data processing, and streamlining internal business operations.
### **Responsibilities include:**
- Integrate AI/LLM capabilities into existing applications and workflows.
- Build and integrate Retrieval-Augmented Generation (RAG) solutions for intelligent information retrieval.
- Design and develop AI-powered automation for internal business processes.
- Build and maintain frontend and backend features to support AI-driven functionality.
- Develop REST APIs and backend services to connect AI features with existing systems and third-party platforms.
- Design and optimize databases, application architecture, and system performance.
- Implement prompt engineering techniques and optimize AI responses for specific business use cases.
- Debug, test, and refine AI-driven functionality across the full application stack.
- Collaborate on feature implementation, architecture decisions, and technical improvements.
- Ensure code quality through testing, documentation, and development best practices.
### **The ideal freelancer should have experience with:**
- Full Stack Web Development
- LLM Integration (OpenAI, Anthropic, Google Gemini, or similar models)
- Retrieval-Augmented Generation (RAG)
- AI Automation & Workflow Design
- Prompt Engineering
- REST API & Third-Party API Integration
- Backend Development
- Frontend Development (React, Next.js, Vue, Angular, or similar)
- SQL and/or NoSQL Databases
- System Design & Application Architecture
- Git, Version Control, and Modern Software Development Practices
- Problem-solving and clear communication
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