EPAM Systems
1 month ago
Key Java AI Engineer
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Company information
- Company
- EPAM Systems
- Location
- Armenia
- Posted
- 1 month ago
Job 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
Required skills
- docker
- java
- ci/cd
- monitoring
- sql
- data modeling
- ai
- python
- aws
- kubernetes
- continuous improvement
- prompt engineering
- jenkins
- eks
- evaluation
- terraform
- gitlab ci
- microsoft azure
- delta lake
- infrastructure as code
- english b2
- data engineering
- aks
- serverless computing
- apache kafka
- scala
- deployment
- event-driven architectures
- iceberg
- backend development
- hudi
- solution design
- apache spark
- github copilot
- spark sql
- spark streaming
- amazon redshift
- model integration
- ai software development life cycle
- azure-native tooling
- generative ai fundamentals
- gen ai assisted development
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