Java Backend Engineer: AI-Driven Enterprise Apps

BeeHyv Software; McKinney (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

BeeHyv Software in Texas seeks a Software Developer specializing in Java backend and AI-enabled engineering to build enterprise-grade systems. You will design, implement, and test Java services, integrate LLMs, and create robust agent workflows within production-ready environments.

Collaborate with senior engineers and clients to translate business requirements into reliable software components, while emphasising observability, security, and scalable data models.

Qualifications

• Two+ years of backend experience with API development.
• Strong Java fundamentals and hands-on Java work.
• Experience with Spring Boot and REST APIs.
• Familiarity with SQL and relational databases.

Responsibilities

• Design, develop, test, deploy, and maintain backend applications using Java and Spring Boot
• Build enterprise AI agents that perform specialised tasks and automate multi-step business workflows
• Design agent orchestration involving routing, decision‑making, retries, tool execution, memory, and state management
• Develop reusable components and frameworks that support multiple AI agents and use cases
• Integrate large language models with backend applications and enterprise services
• Work with Java‑based AI frameworks and tools
• Write unit, integration, and end‑to‑end tests for backend and AI‑enabled functionality
• Collaborate with senior engineers, architects, product teams, and client stakeholders

Skills

Java

Spring Boot

REST APIs

Git

CI/CD

JUnit

SQL

Docker

Education

Computer Science or related degree

Tools

LangChain4j

LangGraph4j

Spring AI

Redis/Valkey

Maven

Docker Compose

GitLab/Jenkins

AWS

Job description

BeeHyv Software in Texas seeks a Software Developer specializing in Java backend and AI-enabled engineering to build enterprise-grade systems. You will design, implement, and test Java services, integrate LLMs, and create robust agent workflows within production-ready environments.

Collaborate with senior engineers and clients to translate business requirements into reliable software components, while emphasising observability, security, and scalable data models.