You will get an AI-integrated Java backend system using LLM APIs
Project details
Want to add AI capabilities to your Java backend without vendor lock-in or fragile integrations? I build production-ready Java/Spring Boot backends that integrate LLM APIs cleanly into your existing architecture. With 20 years of enterprise Java experience across fintech, retail, and media industries, I deliver LLM API integration, RAG pipelines (document ingestion, embeddings, vector stores), prompt caching and cost-aware request design, structured output handling, and observability for AI calls. Every engagement starts with a structured technical analysis of your use case and data flow, so you know the architecture before any code is written. I've built AI-powered document processing systems, production CI/CD pipelines, and core banking integration platforms on Kubernetes.
AI Algorithms
Large Language ModelAI Applications
Conversational AIAI Models
BLOOMWhat's included
| Service Tiers |
Starter
$80
|
Standard
$190
|
Advanced
$420
|
|---|---|---|---|
| Delivery Time | 4 days | 9 days | 18 days |
Number of Revisions | 1 | 2 | 3 |
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 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$30 - $90
Additional Revision
+$25
Database Integration
(+ 1 Day)
+$25
API Testing Extra
(+ 2 Days)
+$40
Observability Setup
(+ 3 Days)
+$60Frequently asked questions
About Attila
Senior Software Engineer | Java/Spring Boot, React Native & AI/LLM
Godollo, Hungary - 8:53 pm local time
Recent work includes leading development of a Kubernetes-based core banking integration platform, building AI-powered search and risk-assessment tools using transformer models, and delivering a React Native mobile ticketing app for a public transport tender.
Core strengths: crisis management, systems architecture and planning, project and team leadership, and adapting quickly to new technologies under tight deadlines. Comfortable across the full stack: Java, Python, TypeScript/React, mobile (React Native), CI/CD (GitLab, Jenkins), containerization (Docker, Kubernetes), and major databases and message queues.
I thrive in agile environments and enjoy solving complex technical problems, from legacy system modernization to cutting-edge AI integration.
Steps for completing your project
After purchasing the project, send requirements so Attila can start the project.
Delivery time starts when Attila receives requirements from you.
Attila works on your project following the steps below.
Revisions may occur after the delivery date.
Use case analysis and architecture design
I analyze your use case, data flow, and requirements, and design the LLM integration architecture.
LLM integration and RAG pipeline implementation
I implement the LLM API integration, and RAG pipeline if needed, with error handling and tests.