I will build ai integrated java backend systems with llm apis

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Attila B.

About this gig

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 (Anthropic, OpenAI, or other providers)

- RAG pipelines (document ingestion, embeddings, vector stores)

- Prompt caching and cost-aware request design

- Structured output handling (JSON schemas, tool use)

- Observability for AI calls (latency, token usage, error tracking)


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 and production CI/CD pipelines for enterprise clients, alongside core banking integration platforms on Kubernetes.


Get to know Attila B.

Attila B.

Senior Java and AWS Architect, Spring Boot, AI Integration

  • FromHungary
  • Member sinceJul 2026
  • Languages

    Hungarian, English
Senior Java and AWS architect with 20 years of experience across fintech, retail, and media. I specialize in Java and Spring Boot microservices, Kubernetes deployment, and legacy system modernization. I also integrate AI and LLM capabilities into production backends, including RAG pipelines, vector search, and embedding generation. Recent work includes core banking platforms on Kubernetes, AI powered document search using transformer models, and CI/CD pipeline design. Every engagement starts with a structured technical analysis before writing code.

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