AI Integration & Prompt Engineering Expertise Required
Budget: $30 – $250 USD
I want to integrate AI features into my existing project and need an experienced developer who understands LLMs, prompt engineering, and AI API integration.
The main goal is to add useful AI functionality using models like OpenAI, Claude, Gemini, or similar LLM APIs. I need someone who can design strong prompts, connect AI APIs, manage AI responses, reduce hallucinations, and make the AI output useful for real users.
Responsibilities
* Review my current project and suggest the best AI integration approach
* Integrate LLM APIs such as OpenAI, Claude, Gemini, or other suitable models
* Create and improve prompts for accurate and useful AI responses
* Add structured output, JSON response format, or function calling if needed
* Reduce hallucinations and improve answer quality
* Connect AI features with my existing frontend and backend
* Add basic error handling, rate limit handling, and cost control
* Test the AI flow and make sure it works smoothly in production
Required Skills
* Strong experience with LLM API integration
* Prompt engineering experience
* Experience with OpenAI API, Claude API, Gemini API, or similar
* Backend development experience, preferably Node.js, Python, or PHP
* Ability to work with an existing codebase
* Good understanding of structured AI output and AI workflow design
* Clear communication and ability to explain technical decisions
Nice to Have
* Experience with RAG, vector databases, embeddings, or Supabase/pgvector
* Experience with AI agents or automation workflows
* Experience improving hallucination issues
* Experience with SaaS or web app AI features
What I Need From You
Please explain:
1. What AI or LLM projects you have built before
2. Which LLM APIs you have experience with
3. How you usually improve prompt quality and reduce wrong AI answers
4. Your suggested approach for integrating AI into an existing project
Ideal Result
I am looking for someone reliable who can help me build a clean, useful, and production-ready AI feature.
The main goal is to add useful AI functionality using models like OpenAI, Claude, Gemini, or similar LLM APIs. I need someone who can design strong prompts, connect AI APIs, manage AI responses, reduce hallucinations, and make the AI output useful for real users.
Responsibilities
* Review my current project and suggest the best AI integration approach
* Integrate LLM APIs such as OpenAI, Claude, Gemini, or other suitable models
* Create and improve prompts for accurate and useful AI responses
* Add structured output, JSON response format, or function calling if needed
* Reduce hallucinations and improve answer quality
* Connect AI features with my existing frontend and backend
* Add basic error handling, rate limit handling, and cost control
* Test the AI flow and make sure it works smoothly in production
Required Skills
* Strong experience with LLM API integration
* Prompt engineering experience
* Experience with OpenAI API, Claude API, Gemini API, or similar
* Backend development experience, preferably Node.js, Python, or PHP
* Ability to work with an existing codebase
* Good understanding of structured AI output and AI workflow design
* Clear communication and ability to explain technical decisions
Nice to Have
* Experience with RAG, vector databases, embeddings, or Supabase/pgvector
* Experience with AI agents or automation workflows
* Experience improving hallucination issues
* Experience with SaaS or web app AI features
What I Need From You
Please explain:
1. What AI or LLM projects you have built before
2. Which LLM APIs you have experience with
3. How you usually improve prompt quality and reduce wrong AI answers
4. Your suggested approach for integrating AI into an existing project
Ideal Result
I am looking for someone reliable who can help me build a clean, useful, and production-ready AI feature.