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# TELECOMMUTE Key Java AI Engineer

- **Company:** EPAM Systems, Inc.
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Database, Information Engineering, Apache Hive, Python (Programming Language), Software Engineering, SQL Databases, Systems Integration, GitHub Copilot, Prompt Engineering, Apache Spark, Generative AI, Backend, Event Driven Architecture, Build Management, Data Lakes, Gitlab-ci, Kubernetes, Apache Kafka, Spark Streaming, Serverless Computing, Docker, Jenkins, Amazon Redshift
- **Published:** June 12, 2026
- **Apply:** https://www.dice.com/job-detail/6b0c1155-6f5d-4d1c-a3d6-ef08eccd9150

## About the Role

We are seeking a Key Java AI Engineer to design and deliver AI-enabled solutions using Java technologies. In this role, you will lead the implementation of business-critical, AI-powered features while contributing across the entire AI Software Development Life Cycle, from solution design through deployment and continuous improvement. Responsibilities Design, build and deploy AI-enabled solutions using Java technologies Lead the implementation of business-critical features powered by AI Contribute to all phases of the AI Software Development Life Cycle, including solution design, prompt engineering, model integration, evaluation, monitoring, deployment and continuous improvement Stay updated on the latest trends in Java and AI technologies Requirements 3+ years of experience in data engineering or backend platform development Proven experience implementing the AI Software Development Life Cycle Qualifications in solution design, prompt engineering and model integration Familiarity with
evaluation, monitoring, deployment and continuous improvement of AI solutions Proficiency in Java and/or Scala as primary languages with Python as secondary Expertise in Apache Spark, including Spark SQL and Spark Streaming Knowledge of Apache Kafka and event-driven architectures Competency in SQL and data modeling Skills in AWS cloud services and serverless computing English proficiency at B2 level or higher Nice to have Flexibility to use Terraform for Infrastructure as Code Familiarity with Docker, Kubernetes (EKS / AKS) and CI/CD pipelines such as GitLab CI or Jenkins Experience with cloud data warehouses such as Amazon Redshift Understanding of Microsoft Azure services and Azure-native tooling Knowledge of Iceberg, Hudi or Delta Lake Familiarity with Generative AI Fundamentals, Gen AI Assisted Development and GitHub Copilot



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