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EPAM
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Key Java AI Engineer

EPAMGeorgia
Work model
Remote
Experience
3+ years
Employment
Not specified
Compensation
Not disclosed
Technology signal
23 tags

Technology context

23

Parsed from the vacancy text; ordered by relevance to this role.

AIAWSGenAIAI-Assisted DevelopmentJavaAzurePythonKubernetesCloudBackendKafkaDockerSparkTerraformJenkinsCI/CDScalaSQLAmazon RedshiftData Software EngineeringGenerative AI FundamentalsGithub CopilotPrompt Engineering

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Role description

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