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Key Java AI Engineer

Role overview

Qualifications

  • 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
  • Proficiency in Java and/or Scala as primary languages with Python as secondary

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

Key facts

Hard skills

Other skills

  • Problem Solving
  • Teamwork
  • Communication

About the company

EPAM Systems logo

EPAM Systems

IT Services & IT Consulting

Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.

Company details

Company typeXLarge
IndustryIT Services & IT Consulting
Company size10001

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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

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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