AI-Powered Work Assistant Platform Development
Budget: $25 – $50 USD
Summary
- Build an AI-powered personal work assistant for professionals and small businesses
- Manage work via chat, voice, documents, tasks, and connected tools
- Turn the current Next.js frontend pages into a full AI backend system
Responsibilities
- Review existing frontend pages and product flow
- Design AI backend architecture and API endpoints
- Integrate LLMs (OpenAI, Anthropic, Gemini, etc.)
- Implement chat, tool-calling, and reasoning workflows
- Build RAG pipelines and connect vector databases
- Implement speech-to-text and text-to-speech features
- Support conversation history and user memory
- Ensure scalable, secure, and maintainable backend
Required Skills
- LLM integration and AI agent workflows
- RAG pipelines and vector databases
- Backend development with Python (FastAPI), Node.js, NestJS, or similar
- Tool/function calling
- Speech-to-text and text-to-speech integration
- Database design and secure user data handling
- Ability to work with existing frontend pages
- Strong debugging and problem-solving skills
Expected Deliverables
- AI backend architecture
- LLM integration and chat API
- RAG pipeline and vector database setup
- Tool-calling system
- Voice input/output features
- Conversation memory/history
- Deployment-ready backend
Workflow
- Shortlisted candidates will receive frontend pages and product flow
- Provide feedback on current frontend pages
- Develop backend incrementally in milestones
- Integrate AI, backend, and tools with frontend
When Applying
- GitHub name
- Brief description of similar AI systems built
Note
- This is a long-term project to build a real AI-powered work assistant
- Shortlisted candidates will submit a short video or screenshot showing the frontend pages, with their creative suggestions and backend plans.
- Build an AI-powered personal work assistant for professionals and small businesses
- Manage work via chat, voice, documents, tasks, and connected tools
- Turn the current Next.js frontend pages into a full AI backend system
Responsibilities
- Review existing frontend pages and product flow
- Design AI backend architecture and API endpoints
- Integrate LLMs (OpenAI, Anthropic, Gemini, etc.)
- Implement chat, tool-calling, and reasoning workflows
- Build RAG pipelines and connect vector databases
- Implement speech-to-text and text-to-speech features
- Support conversation history and user memory
- Ensure scalable, secure, and maintainable backend
Required Skills
- LLM integration and AI agent workflows
- RAG pipelines and vector databases
- Backend development with Python (FastAPI), Node.js, NestJS, or similar
- Tool/function calling
- Speech-to-text and text-to-speech integration
- Database design and secure user data handling
- Ability to work with existing frontend pages
- Strong debugging and problem-solving skills
Expected Deliverables
- AI backend architecture
- LLM integration and chat API
- RAG pipeline and vector database setup
- Tool-calling system
- Voice input/output features
- Conversation memory/history
- Deployment-ready backend
Workflow
- Shortlisted candidates will receive frontend pages and product flow
- Provide feedback on current frontend pages
- Develop backend incrementally in milestones
- Integrate AI, backend, and tools with frontend
When Applying
- GitHub name
- Brief description of similar AI systems built
Note
- This is a long-term project to build a real AI-powered work assistant
- Shortlisted candidates will submit a short video or screenshot showing the frontend pages, with their creative suggestions and backend plans.
Related categories:
Amazon Web Services
Node.js
PostgreSQL
Next.js
FastAPI
Large Language Models (LLMs)
Agentic AI