AI Security Engineer

InPost Group

. Work on security assessment and secure design review of AI, LLM and agentic systems across InPost's technology estate .

Posted 10/2/2026full-timeRemote • PolandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in application security, particularly in AI, LLM, and agentic systems, with a strong focus on identifying vulnerabilities and implementing engineered security controls. Proficient in translating complex security concepts into actionable guidance for stakeholders while ensuring secure design and development practices.

Highest-signal resume keywords

Application SecurityAI-Specific Attack ClassesCloud Security (AWS, Azure, GCP)Security AssessmentsSecure Design Reviews

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Coding ExperienceSecurity AssessmentsThreat ModellingBuilding Engineered Security ControlsVulnerability IdentificationGenerative AI UnderstandingLLM SecurityContainer SecuritySecurity AutomationDeveloper-Facing Security Tooling

Soft Skills

Strong Presentation SkillsClear Communication

Industry Keywords

OWASP Top 10 for LLM ApplicationsOWASP Top 10 for Agentic ApplicationsMITRE ATLAS

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Work on security assessment and secure design review of AI, LLM and agentic systems across InPost's technology estate
Identify, reproduce and reason about real vulnerabilities in AI-powered and agentic systems
Work with engineering teams to fix vulnerabilities at the root cause
Define and build engineered security controls for AI/ML and LLM-related risks
Build security automation and developer-facing tooling to help teams build securely by default
Review new AI solutions and system architectures for security risk
Represent security in AI governance forums and the AI solutions catalogue
Apply hands-on cloud and container security practices across AWS, Azure and GCP
Act as a go-to expert on AI-specific attack classes and evolving threats
Translate complex technical and security findings into clear, practical guidance for business stakeholders

Requirements

What you’ll need

5+ years of experience in application security or product security
5+ years of coding experience in one or more general-purpose languages, including shipping and operating production services
5+ years of experience with security assessments, secure design reviews or threat modelling
Solid understanding of generative AI, LLMs and AI agents, and how they are built and deployed in production
Deep knowledge of AI-specific attack classes and how they apply to real systems
Experience securing agentic, code-execution or LLM-integrated systems
Track record of finding and reasoning about real vulnerabilities in real systems
Experience building engineered security controls
Hands-on cloud and container security experience on AWS, Azure or GCP
Strong presentation skills and ability to translate complex technical and security topics into clear business terms
Good English skills enabling confident communication in an international environment
Nice to have: background building security automation or developer-facing security tooling
Nice to have: working knowledge of OWASP Top 10 for LLM Applications and OWASP Top 10 for Agentic Applications
Nice to have: working knowledge of MITRE ATLAS

Benefits

Comp & perks

Opportunity to work in a diverse, international, and cross-functional environment
Work and learn from a senior leader and their leadership team
Increasing opportunities in several locations in Europe
Range of benefits
Training opportunities for professional development
Excellent working environment
Flexible hours
B2B type of contract