Remote Senior AI/ML Security Testing Engineer

EPAM Systems, Inc.

Polska

Hybrid

PLN 180,000 - 300,000

Full time

5 days ago
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Benefits offered by this job

Health insurance
Stock purchase plan
Remote within Poland
Relocation opportunities
Career development programs

Job summary

EPAM Systems, Inc. is seeking a Senior AI/ML Solution Engineer to design and implement AI-agentic security testing within the client’s software ecosystem.

You will lead autonomous security testing workflows, build large-scale evaluation pipelines, and tune LLMs for security domains while collaborating with the security team to mitigate vulnerabilities. The role emphasizes developing scalable AI-driven testing methodologies and sharing best practices, with hybrid work options and opportunities

Qualifications

  • 5+ years of experience as an AI/ML Solution Engineer or Security Engineer.
  • Proficiency in Python and Rust.
  • Experience with vulnerability management is a plus.

Responsibilities

  • Build multi-agent systems and orchestration layers for autonomous security testing workflows.
  • Develop robust large-scale security testing frameworks and evaluation pipelines.
  • Perform LLM fine-tuning (LoRA, QLoRA, or similar) for security domains.
  • Generate and manage large-scale datasets for automated security testing.
  • Conduct security testing activities to identify risks and vulnerabilities in software applications using AI-agentic security testing solutions.
  • Provide guidance and best practices on AI-driven secure testing methodologies with the internal security team.
  • Track the latest AI-specific security vulnerabilities and threats, proactively recommending mitigation strategies.

Skills

Python
Rust
English (B2+)
AI/ML

Tools

Claude Code
Codex
Cursor

Job description

EPAM Systems, Inc. is seeking a Senior AI/ML Solution Engineer to design and implement AI-agentic security testing within the client’s software ecosystem.

You will lead autonomous security testing workflows, build large-scale evaluation pipelines, and tune LLMs for security domains while collaborating with the security team to mitigate vulnerabilities. The role emphasizes developing scalable AI-driven testing methodologies and sharing best practices, with hybrid work options and opportunities

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