Java Back-End Engineer – AI Technologies

Moofwd; O’Fallon, Northern (MO, KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Moofwd is seeking a Senior Java Back-End Engineer to design, develop, and deploy scalable backend systems and AI-powered agents. You will work with Java, Spring Boot, microservices, and cloud deployments to deliver robust APIs and AI integrations across platforms.

This 12-month contract role demands deep backend expertise and hands-on AI development experience. Applicants should have 7+ years of engineering experience and a proven track record in building scalable, secure services that leverage

Qualifications

• 7+ years of software engineering and backend development.
• Senior Java Back-End Engineer with strong AI expertise.
• Hands-on AI agent development and LLM integrations.
• Experience with cloud platforms and microservices.

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.

Skills

Java

Spring Boot

REST APIs

Microservices

AI agent development

LLMs integration

Tools

Docker

Kubernetes

LangChain

LangGraph

Spring AI

AWS

Azure

GCP

Job description

Java Back-End Engineer – AI Technologies

Design, develop, and deploy scalable backend systems and Agentic AI solutions using Java, Spring Boot, and LLM integrations. This 12-month contract role combines deep backend expertise with hands-on AI agent development.

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.

Required Skills

• 7+ years of experience in software engineering and backend development.


• Excellent experience with Spring Boot, Spring Framework, Spring AI, and Microservices.


• Strong knowledge of REST APIs, Web Services, API Gateway, and distributed systems.


• Strong experience with SQL and NoSQL databases.


• Experience with Docker and Kubernetes.


• Hands‑on experience building Generative AI and Agentic AI applications.


• Experience integrating LLMs and Foundation Models into production applications.


• Understanding of AI agents, tool/function calling, multi‑agent systems, agent memory, planning, and orchestration.