Magic Media

Python Agent Developer

Magic Media

contract

Posted on:

Location Type: Hybrid

Location: EllinikoGreece

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Tech Stack

About the role

  • Be at the forefront of autonomous pentesting, by developing our agentic penetration testing tool
  • Implement agentic workflows that conduct an application penetration test from A-Z
  • Benchmark results and improve the logic
  • Provide technical support for penetration testing teams who use the tool.

Requirements

  • A technical or university level qualification, preferably in Computer Science. Equivalent combination of education and experience may be substituted.
  • Excellent written and oral communication skills (especially in the English language)
  • 3+ years of writing products in python 3.
  • Experience with at least one agentic framework (eg LangGraph, AutoGen, CrewAI) or comparable orchestration patterns
  • Understanding of key agentic components like memory management, prompting and tool design, RAG fundamentals, multi-agent orchestration and prompt injection defenses
  • Knowledge about evaluating agents using benchmarks and success metrics**
  • A working knowledge in
  • Offensive security, including common vulnerability knowledge and experience with web and mobile app testing
  • Familiarity with common tooling such as: Burp Suite, OWASP ZAP, Nuclei, sqlmap, nmap
Benefits
  • An opportunity to hone and improve your skills by applying them to a diverse variety of gaming projects
  • The chance to work closely with a team of like-minded creative professionals in a fast-paced, multicultural environment on a variety of gaming projects
  • A competitive salary
  • Ongoing training and professional self-improvement opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
python 3agentic frameworksmemory managementpromptingtool designRAG fundamentalsmulti-agent orchestrationprompt injection defensesevaluating agentsvulnerability assessment
Soft Skills
written communicationoral communication