You will get a Secure LLM & RAG Integration for your Node.js or Python Backend


Project details
Don't risk your company's private data with poor AI implementations. Integrating Large Language Models (LLMs) requires strict architectural boundaries and secure data pipelines.
I am a Senior Backend Architect and AI Specialist. I build production-ready AI features, specializing in Retrieval-Augmented Generation (RAG) and Autonomous Agents.
What I can build for you:
• Secure OpenAI / Claude / Gemini integrations.
• Custom RAG Pipelines (letting the AI answer based strictly on your PDFs, databases, or company docs).
• Multi-Agent Systems with tools and function calling.
• Prompt engineering and guardrails to prevent hallucinations and data leaks.
I work 100% asynchronously to ensure deep focus and clean code delivery. Let's make your AI vision a reality—securely and at scale!
I am a Senior Backend Architect and AI Specialist. I build production-ready AI features, specializing in Retrieval-Augmented Generation (RAG) and Autonomous Agents.
What I can build for you:
• Secure OpenAI / Claude / Gemini integrations.
• Custom RAG Pipelines (letting the AI answer based strictly on your PDFs, databases, or company docs).
• Multi-Agent Systems with tools and function calling.
• Prompt engineering and guardrails to prevent hallucinations and data leaks.
I work 100% asynchronously to ensure deep focus and clean code delivery. Let's make your AI vision a reality—securely and at scale!
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI-Generated Code, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, Hugging Face, ReplitAI Models
ChatGPT, GPT-4, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$250
|
Standard
$500
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 0 | 2 | 2 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | ||
Model Documentation | - | ||
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | - | |
Natural Language Processing | |||
NLP Tokenization | - | ||
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | |||
Source Code |
About Jessica
Senior Backend Architect | Node.js & Java | AI & RAG Specialist
Rio de Janeiro, Brazil - 9:11 pm local time
My core expertise lies in designing resilient, scalable architectures using Node.js (NestJS) and Java (Spring Boot). I build systems that can handle massive concurrency, utilizing Domain-Driven Design (DDD), Event-Driven Architecture (RabbitMQ/Kafka), and advanced transactional patterns (like the Transactional Outbox Pattern) to ensure absolute data consistency and zero double-spending.
Beyond traditional engineering, I help businesses safely integrate Generative AI into their products. I specialize in building Retrieval-Augmented Generation (RAG) pipelines and autonomous AI agents, turning frontier models into secure, production-ready enterprise solutions.
HOW I WORK (The Asynchronous Approach):
To ensure the highest quality of code and deep focus, I work strictly on an asynchronous basis. I prefer clear, text-based communication via Upwork Chat, Jira, Trello, or GitHub Issues rather than live video meetings. You provide the problem and the requirements; I deliver clean, tested, and scalable code.
If you need a reliable architect to scale your backend or securely integrate AI into your platform, let's connect!
Steps for completing your project
After purchasing the project, send requirements so Jessica can start the project.
Delivery time starts when Jessica receives requirements from you.
Jessica works on your project following the steps below.
Revisions may occur after the delivery date.
Architecture & Security Planning
I will design the AI pipeline ensuring your private data is safe from prompt injection and leaks.
RAG / Agent Development
I will implement the Vector DB, embedding logic, and LLM orchestration inside your backend.