
AI Engineer for Java & AI System Architecture – UK/USA
About Our Engineers
With 8+ years of Java engineering experience, this expert is trusted by SaaS and enterprise teams to add AI-driven features to secure backend systems. From real-time GPT agents to Whisper-based data processing, they build production-ready infrastructure that scales.
Key Expertise & Skills
Spring Boot Architecture
Java Microservices
GPT API Automation
Data Streaming with Kafka
Voice AI Pipelines
Enterprise-Grade AI Features
Chatbot Integrations
LLM-Based Dashboards
Technologies & Tools
Java 17
Spring Boot 3
GPT-4
OpenAI Whisper
Kafka
Redis
Elasticsearch
Docker
AWS
GCP
LangChain
Hibernate
Maven
Jenkins
Postgres
OAuth2
Projects Our Engineers Have Worked On
- Real-Time GPT-Powered Helpdesk Platform – Built a microservice in Java where GPT-4 suggests responses, flags sentiment, and auto-escalates tickets—reducing support load by 40%.
AI Data Sync Engine for Financial SaaS – Designed an AI-enhanced ETL backend that parses raw data, applies GPT summaries, and routes insights into dashboards for executives.
LLM-Powered Resume Screener – Created an HR tool in Java that matches resumes with job posts using GPT, ranks top candidates, and writes interview questions via AI prompts.
Secure Voice-to-Insight System – Developed a system where voice notes are transcribed via Whisper, analyzed with GPT, and summarized into business action points for CRM systems.
GPT Knowledge Assistant for Enterprise Docs – Built an assistant in Java that answers questions based on internal PDFs, with access control and embedded retrieval using LangChain.
AI-Driven Lead Nurturing Platform – Engineered a Java backend that monitors CRM activity, then generates email replies and summaries based on interaction logs and sentiment cues.
Who Should Hire This Engineer?
Fintech
EdTech
and LegalTech apps embedding AI into backends
CTOs building secure AI data pipelines in Java
Product teams adding smart LLM assistants
Startups creating automation tools using GPT with Java scalability