> Markdown version of [/jobs/ext/3539588-ai-engineer-java](https://www.wearedevelopers.com/jobs/ext/3539588-ai-engineer-java). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI Engineer(Java)

- **Company:** Propertyvalue Quantum Technologies Llc
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $145,600.0 - $162,240.0
- **Contract:** Temporary contract
- **Skills:** Testing (Software), Java (Programming Language), Artificial Intelligence, Code Review, Continuous Integration, Relational Databases, DevOps, Python (Programming Language), Machine Learning, Enterprise Messaging Systems, Natural Language Processing, Performance Tuning, Standard Sql, Software Engineering, Systems Integration, Management of Software Versions, Workflow Management Systems, Java Application Server, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Spring-boot, Generative AI, Backend, Agentic-AI, Apache Kafka, Machine Learning Operations, Evaluation of Large Language Models, Restful APIs, Document Classification, Microservices
- **Published:** September 30, 2026
- **Apply:** https://www.dice.com/job-detail/9955d71f-6d9e-4b83-ae42-1528bd7b35d5

## About the Role

* 10+ years of total technology/software engineering experience.
 * Strong hands-on backend development experience with Java.
 * Strong experience with Spring Boot, REST APIs, and Microservices.
 * Experience with Kafka or comparable event-driven messaging technologies.
 * Practical experience implementing or integrating AI/ML capabilities into production applications.
 * Experience with NLP use cases such as text classification and clustering.
 * Experience integrating ML models, NLP services, or LLM-based capabilities with enterprise applications.
 * Hands-on experience with:
 + Prompt Engineering
 + LLM Evaluation
 + Retrieval-Augmented Generation (RAG)
 * Strong SQL and relational database experience.
 * Experience with software testing, CI/CD, security, monitoring, and production support.
 * Strong communication and cross-functional collaboration skills.

## Description

* Design and develop scalable backend applications and services using Java and Spring Boot.
 * Build event-driven and distributed services using Kafka, REST APIs, and microservices architecture.
 * Integrate NLP, Machine Learning, and LLM capabilities into Java-based enterprise applications.
 * Develop NLP solutions for text classification, clustering, intent detection, and related use cases.
 * Design and deploy LLM workflows involving prompt engineering, LLM evaluation, and RAG.
 * Develop integrations between Java applications and Python-based AI/ML or model-serving services.
 * Contribute to agentic AI workflows, including multi-step interactions, tool execution, validation, and workflow orchestration.
 * Apply production engineering practices covering scalability, resiliency, security, testing, monitoring, and performance optimization.
 * Contribute to LLMOps/MLOps practices, including evaluation, monitoring, versioning, deployment, and lifecycle management.
 * Collaborate with AI/ML, Product, Platform, Data, and DevOps teams.
 * Participate in architecture reviews, code reviews, technical planning, and production support.
 * Mentor junior and offshore engineers and promote engineering best practices.


## Related Videos

- [Agentic AI Systems for Critical Workloads](https://www.wearedevelopers.com/videos/1592-agentic-ai-systems-for-critical-workloads)
- [Shifting Stress to Progress— Understanding DevOps to do DevOps Better](https://www.wearedevelopers.com/videos/268-shifting-stress-to-progress-understanding-devops-to-do-devops-better)
- [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock)
- [Mobile vs. Backend DevOps](https://www.wearedevelopers.com/videos/1662-mobile-vs-backend-devops)
- [Create AI-Infused Java Apps with LangChain4j](https://www.wearedevelopers.com/videos/1549-create-ai-infused-java-apps-with-langchain4j)
- [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [6 Reasons to Use Java For Your Next AI Project](https://www.wearedevelopers.com/magazine/111-6-reasons-to-use-java-for-your-next-ai-project)
- [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [The Fastest-Growing Tech Sectors to Look Out for in 2025](https://www.wearedevelopers.com/magazine/373-the-fastest-growing-tech-sectors-to-look-out-for-in-2025)
- [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers)