> Markdown version of [/jobs/ext/291970-java-ai-engineer](https://www.wearedevelopers.com/jobs/ext/291970-java-ai-engineer). 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).

---

# Java + AI Engineer

- **Company:** Stanley David and Associates
- **Location:** Chicago, IL, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Information Engineering, Machine Learning, NoSQL, Performance Tuning, Search Technologies, Software Deployment, Software Engineering, SQL Databases, Management of Software Versions, Google Cloud, Enterprise Software Applications, Large Language Models, Prompt Engineering, Generative AI, Kubernetes, Machine Learning Operations, Restful APIs, Docker, Microservices
- **Published:** May 19, 2026
- **Apply:** https://www.dice.com/job-detail/d17e692a-a1ac-4234-87e6-52e70e33c179

## About the Role

* 4-8+ years of experience in software engineering, ML engineering, or AI solution development
 * Strong proficiency in Java and experience
 * Hands on experience with Generative AI / LLMs, including RAG, embeddings, prompt engineering, and agents
 * Solid understanding of data engineering concepts, SQL/NoSQL, and feature pipelines
 * Experience deploying AI solutions on cloud platforms (Google Cloud Platform preferred; AWS/ Azure acceptable)
 * Familiarity with Docker, Kubernetes, and CI/CD pipelines
 * Strong problem solving, communication, and stakeholder collaboration skills

## Description

* Design, develop, and deploy AI/ML and Generative AI solutions including LLM based applications, RAG pipelines, agents, and predictive models
 * Translate business use cases into production ready AI solutions with measurable outcomes
 * Deep knowledge in Java streams technology
 * Implement LLM orchestration, prompt engineering, vector search, embeddings, and model fine tuning
 * Develop scalable APIs and microservices to integrate AI capabilities into enterprise applications
 * Collaborate with Data Engineers, Data Scientists, Product Owners, and Cloud teams across onshore offshore models
 * Implement MLOps / LLMOps practices including CI/CD, monitoring, versioning, model governance, and observability
 * Ensure Responsible AI, security, compliance, and data privacy by design
 * Support production deployments, performance tuning, and continuous improvement of AI systems


## Related Videos

- [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis)
- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way)
- [Java Meets AI: Empowering Spring Developers to Build Intelligent Apps](https://www.wearedevelopers.com/videos/1554-java-meets-ai-empowering-spring-developers-to-build-intelligent-apps)
- [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes)
- [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [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)