I will integrate ai apis, llms


About this gig
Looking to integrate intelligent AI capabilities or persistent memory into your web app?
I am a full-stack engineer specializing in LLM integrations, conversational interfaces, and custom RAG architectures. I connect modern AI APIs into existing codebases with clean, production-ready code.
What I can build for you:
- AI Model Integration: Fast setup of OpenAI, Gemini, or Mistral with real-time streaming and custom prompt pipelines.
- Function Calling & Tool Use: Structured JSON outputs, database lookups, and third-party API automation.
- Multimodal Features: Stable Diffusion image generation and speech-to-text processing.
- Vector RAG & Memory: Long-term memory pipelines using PostgreSQL (pgvector) so your app retains context across long sessions.
Tech Stack:
TypeScript, JavaScript, Next.js, Node.js, PostgreSQL (pgvector), Prisma, REST APIs.
Why choose me?
- Clean, maintainable, and fully commented code
- Secure API key handling & authenticated routes
- Fast delivery and responsive communication
Please message me before placing an order so we can review your architecture and API requirements!
Get to know Dmytro Y.
Full Stack Developer: Building Your Startups MVP with Nextjs and React
- FromUkraine
- Member sinceNov 2022
Languages
Ukrainian, Russian, English
My Portfolio
FAQ
Do I need to provide my own API keys?
Yes, you will need to provide your own API keys for OpenAI, Google Gemini, or whichever AI provider you want to use. I will guide you on how to set them up securely.
Can you work with my existing code repository?
Yes, I can integrate AI endpoints directly into your existing TypeScript, Next.js, or Node.js project via GitHub, GitLab, or a zip archive.
What database do you use for persistent memory?
I primarily work with PostgreSQL using the pgvector extension for high-performance vector search, but I can also integrate Pinecone, Supabase, or other vector stores.
