AI Security Engineer / Offensive Security Engineer

J
JobgetherCybersecurity / AI
Located in Latin America, with Brazil as the target location for this opportunity.Full-TimeMiddle
Salary not disclosed
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Job Details

Languages
Fluent English
Required Skills
Software Engineering

Requirements

  • Strong professional experience in application security, product security, cloud security, offensive security, or a related discipline.
  • Hands-on ability to identify, exploit, debug, and remediate vulnerabilities.
  • Solid understanding of modern web architectures, APIs, authentication and authorization, cloud infrastructure, and data security.
  • Strong software engineering fundamentals and sufficient coding skills to develop security tooling, automation, and remediation solutions.
  • Familiarity with AI and LLM security risks, with a strong interest in securing agentic systems.
  • Practical understanding of established security best practices and the judgment to determine when deeper investigation is warranted.
  • Comfortable working in a fast-moving, zero-to-one environment where security practices and threat models evolve alongside the product.
  • Fluent English communication skills.
  • Located in Latin America, with Brazil as the target location for this opportunity.

Responsibilities

  • Continuously red-team products, infrastructure, APIs, and agentic systems to identify security weaknesses and meaningful attack paths.
  • Discover, reproduce, debug, and validate vulnerabilities, then work directly with engineering teams through remediation.
  • Test AI and LLM-specific attack surfaces, including prompt injection, tool misuse, data leakage, permission escalation, memory poisoning, and unsafe agent behavior.
  • Use AI agents, automation, and security tooling to continuously probe systems, accelerate vulnerability discovery, and support triage.
  • Prioritize security findings based on exploitability, user impact, and overall business risk.
  • Strengthen authentication, authorization, identity management, secrets management, data boundaries, and cloud infrastructure security.
  • Build lightweight monitoring, testing, and defensive systems that continuously improve as the product and threat landscape evolve.
  • Establish pragmatic security standards and development practices while avoiding unnecessary processes and complexity.
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