Senior AI & Agentic Systems Engineer | Hybrid (Java)

EPAM Systems, Inc.; Wrocław; Hybrid; PLN 260,000 - 360,000; Full time

Benefits offered by this job

Hybrid work model

Office locations in Kraków, Wrocław, G

Job summary

EPAM Systems, Inc. in Poland is seeking a Senior AI & Agentic Systems Engineer (Java) to join our team.

You will design, develop, and deploy AI-powered applications with autonomous agentic architectures, built on robust Java/Spring Boot backends. You will integrate LLMs, design REST APIs, and collaborate with data scientists to productionize AI concepts, while mentoring colleagues and staying current with the AI landscape.

Qualifications

• 5+ years of professional software development with a strong Java backend.
• Production-grade Spring Boot experience and REST API design.
• AI Agents development or LLM integration experience.
• Python for AI/ML scripting and prototyping.
• Cloud experience with AWS or GCP for AI workloads.

Responsibilities

• Design, develop, and deploy AI-powered applications and agentic systems built on Java/Spring Boot backends.
• Integrate Large Language Models into enterprise-grade apps with scalability and security.
• Architect autonomous AI workflows for reasoning and multi-step tasks.
• Build RESTful APIs bridging AI components with broader ecosystems.
• Evaluate AI frameworks (Spring AI, LangChain4J) to accelerate development.
• Collaborate with data scientists and product teams to productionize AI concepts.
• Mentor teammates on AI integration patterns and agentic development.

Skills

Java backend

Spring Boot

REST APIs

AI Agents development

LLM integration

Python (AI/ML)

AWS/GCP

System architecture

English communication

Tools

Spring AI

LangChain4J

Job description

EPAM Systems, Inc. in Poland is seeking a Senior AI & Agentic Systems Engineer (Java) to join our team.

You will design, develop, and deploy AI-powered applications with autonomous agentic architectures, built on robust Java/Spring Boot backends. You will integrate LLMs, design REST APIs, and collaborate with data scientists to productionize AI concepts, while mentoring colleagues and staying current with the AI landscape.