Senior Full-Stack AI Agentic Engineer

We are looking for a Senior Full-Stack AI Agentic Engineer with a strong full-stack background combined with hands-on experience in Generative AI and Agentic AI systems.

The ideal candidate will design, build, and deploy scalable, production-ready applications that integrate modern front-end frameworks, robust backend services, cloud-native infrastructure, and AI-driven automation.

Responsibilities Design, develop, and maintain full-stack applications using React and modern backend frameworks

Build and integrate AI-powered and Agentic AI solutions, including GenAI-based workflows and automation

Develop scalable backend services using Java (Spring Boot) and/or Python, ensuring high performance and reliability

Implement and maintain CI/CD pipelines to support automated testing, deployment, and monitoring

Design and deploy applications on cloud platforms such as Kubernetes, Google Cloud, and Azure, following cloud-native best practices

Work with multiple database technologies, both relational and No

SQL, to support data-driven applications

Implement automated testing strategies using tools such as Playwright and Selenium Monitor application performance and overall system health using observability and monitoring tools

Collaborate with Dev Ops, QA, and Product teams to ensure seamless delivery across all environments

Troubleshoot production issues, perform root cause analysis, and drive continuous improvement initiatives

Contribute to technical documentation, architectural decisions, and best-practice guidelines

Requirements

Bachelor's or Master's degree in Systems Engineering, Computer Science, Information Technology, or a related field

At least 3 years of professional relevant experience as a Full-Stack Engineer Strong frontend experience with React and JavaScript for building modern, interactive web applications

Solid backend expertise with Java, Spring Boot, Python, Groovy, and JUnit for developing reliable server-side services

Hands-on experience with CI/CD tools such as Jenkins, Git Hub Actions, and Docker for automated delivery pipelines

Solid experience working with Kubernetes and cloud platforms such as Google Cloud and/or Azure Practical experience with a variety of databases, including MongoDB, PostgreSQL, MySQL, and/or DB2

Proficiency with Linux environments and scripting using Bash

Experience with monitoring and deployment tools such as Spinnaker, Grafana, and Terraform Hands-on experience implementing automation testing using Playwright and/or Selenium Practical experience with Generative AI and Agentic AI concepts and implementations

Strong problem-solving skills and the ability to work independently in complex environments

Comfortable working in English-speaking environments (B2 level or higher)
We offer

International projects with top brands

Work with global teams of highly skilled, diverse peers

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling, reskilling and certification courses

Unlimited access to the Linked In Learning library and 22,000+ courses

Global career opportunities

Volunteer and community involvement opportunitiesEPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and Linked

InEPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.
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