Java Backend Developer

Global Business Ser. 4u; Missouri; On-site; USD 140,000 - 180,000; Full time

Job summary

Global Business Ser. 4u in Missouri is seeking a Senior Java Back-End Engineer with strong AI expertise to design, develop, and deploy scalable backend systems and Agentic AI solutions.

You will employ Java/Spring Boot, microservices, APIs, and cloud platforms while hands-on building AI-powered applications, LLM integrations, and autonomous agents. You will also implement testing, monitoring, and performance optimization as part of a robust engineering practice.

Qualifications

• Extensive experience with Java/Spring Boot and backend design.
• Proven ability to build scalable microservices and secure APIs.

Responsibilities

• Design and develop scalable backend services using Java, Spring Boot and microservices.
• Build and integrate Agentic AI applications powered by Large Language Models (LLMs).
• Develop AI agents capable of reasoning, planning, decision-making, tool calling, and multi-step tasks.
• Create RESTful APIs and event-driven architectures for AI and business apps.
• Develop RAG solutions using vector databases and enterprise data sources.
• Implement AI agent orchestration, memory, context management and workflow automation.
• Deploy and manage apps on cloud platforms (AWS, Azure, GCP).

Skills

Java

Spring Boot

Microservices

APIs

Cloud platforms

AI-powered apps

LLMs

Agentic AI

Tools

LangChain

LangGraph

Spring AI

AWS

Azure

GCP

Job description

We are seeking a highly skilled Senior Java Back-End Engineer with strong AI expertise to design, develop, and deploy scalable backend systems and Agentic AI solutions. The ideal candidate will have extensive experience in Java/Spring Boot development, microservices, APIs, cloud platforms, and hands‑on experience building AI-powered applications, LLM integrations, and autonomous AI agents.

Key Responsibilities

Design and develop scalable, secure, and high-performance backend services using Java, Spring Boot, and Microservices.

Build and integrate Agentic AI applications powered by Large Language Models (LLMs).

Develop AI agents capable of reasoning, planning, decision-making, tool calling, and executing multi-step tasks.

Develop RESTful APIs and event-driven architectures to support AI and business applications.

Build RAG (Retrieval-Augmented Generation) solutions using vector databases and enterprise data sources.

Implement AI agent orchestration, memory, context management, and workflow automation.

Work with frameworks and technologies such as LangChain, LangGraph, Spring AI, or similar AI agent frameworks.

Develop automated testing, monitoring, logging, and performance optimization strategies.

Deploy and manage applications on cloud platforms such as AWS, Azure, or GCP.