EPAM Systems
Key Java AI Engineer
- Compensation
- Not disclosed
- Location
- Georgia
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 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
Full 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
Benefits
We connect like-minded people
- Delivering innovative solutions to industry leaders, making a global impact
- 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
We invest in your growth
- Leadership development, career advising, soft skills and well-being programs
- Certifications, including GCP, Azure and AWS
- Unlimited access to EPAM's internal learning database
- Free English classes with certified teachers