Java Agentic AI Engineer

Quick Facts

• Role: Java Agentic AI Engineer

Description

You will design, develop, and maintain scalable backend applications using Java and Spring Boot while building agentic AI solutions that integrate Large Language Models (LLMs). The role focuses on developing autonomous AI agents, implementing enterprise-grade GenAI features, and delivering reliable RAG pipelines. You will also implement REST APIs and production support for AI-powered applications.

Responsibilities

• Design, develop, and maintain scalable backend applications using Java, Spring Boot, and microservices architecture

• Build and implement agentic AI solutions using LangChain, LangGraph, or similar agent orchestration technologies

• Develop AI agents that can reason, plan, execute tasks, and interact with external tools and enterprise systems

• Integrate LLMs through APIs and implement generative AI-powered application features

• Develop RAG pipelines using vector databases and enterprise knowledge sources

• Implement REST APIs and integrate AI services with Java enterprise applications and distributed systems

• Work with Python for AI/ML integrations, agent workflows, and LLM-based development

• Apply prompt engineering, context management, AI evaluation, and guardrails to improve reliability and performance

• Collaborate with cross-functional teams to design, test, deploy, and support production-ready AI applications

Requirements

• 7+ years of software development experience

• Strong hands-on expertise in Java and Spring Boot

• Experience developing agentic/AI-powered applications and autonomous AI agents

• Experience integrating LLMs (API-based)

• Experience building RAG pipelines with vector databases and enterprise knowledge sources

• Ability to work across backend development, AI orchestration, and scalable architecture

• Comfort using prompt engineering, context management, AI evaluation, and guardrails

• Experience with Python for AI/ML integrations and agent workflows