Key Java AI Engineer

Summary

EPAM Systems is 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

Skills

• 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
• 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

Qualifications

Must Haves

• 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 Haves

• 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

Benefits

• Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
• Opportunity to work abroad for up to two months per year
• Relocation opportunities within our offices in 55+ countries
• Corporate and social events
• Leadership development, career advising, soft skills and well-being programs
• Certifications, including GCP, Azure and AWS
• Unlimited access to LinkedIn Learning and Udemy
• Free English classes with certified teachers
• Participation in the Employee Stock Purchase Plan
• Monetary bonuses for engaging in the referral program
• Comprehensive medical & family care package
• Five trust days per year (sick leave without a medical certificate)
• Benefits package (sports activities, a variety of stores and services)