# Lead AI Security EngineerKatowice, SL, PolandRemoteplvia direct// SalaryNot disclosed// Posted2 days ago// Closing date2026-10-22T12:52:36.336Z// Work Moderemote## About the RoleDescription Lead the security of AI- and LLM-powered applications across the full development lifecycle by embedding secure-by-design practices, running threat modeling and security reviews, and conducting secure code reviews. Operate application security tooling integrated into CI/CD, drive remediation and supply-chain risk reduction, and secure secrets, configurations, APIs, and containers. Build AI-assisted automations for AppSec workflows and implement guardrails for AI/LLM features aligned to OWASP Top 10 for LLM Applications. Responsibilities Embed security into the full SDLC; drive shift-left and secure-by-design across engineering teams Facilitate threat modeling, architecture security reviews, and design reviews for applications, services, and APIs Perform secure code reviews (manual and AI-assisted) and advise developers on secure coding patterns and remediation Implement, configure, tune, and operate AppSec tooling (SAST, DAST, IAST, SCA, secrets scanning, IaC scanning) integrated into CI/CD pipelines Triage, validate, prioritize findings, and reduce false positives; partner with development teams through remediation Define and maintain CI/CD security gates and policies that balance risk reduction with developer velocity Secure the software supply chain: dependency/open-source risk management, SBOM generation, artifact integrity and signing, build pipeline hardening Support and coordinate application penetration testing and validate vulnerability fixes Drive secrets management, secure configuration, API security, container/image security, and microservice security practices Run a security champions program and deliver secure-coding training, guidelines, and reusable security patterns Maintain application security standards, baselines, and policy-as-code; contribute to vulnerability management and risk-acceptance processes Build and operate AI-assisted automations/agentic workflows for AppSec (triage, deduplication, prioritization, false-positive reduction, assisted code review, threat modeling support, enrichment/root-cause, remediation PR drafting, compliance evidence, documentation/runbooks) Integrate AI agents and LLM-backed automations into SDLC/CI/CD; connect models to scanners, code hosts, ticketing, and security tooling via function calling, REST, and webhooks Develop prompts and structured-prompting patterns; tune for accuracy, signal quality, and safe behavior Implement retrieval over codebases/standards/remediation guidance (e.g., RAG) to ensure answers rely on authoritative internal context Add evaluation, validation, and human-in-the-loop checkpoints (guardrails and approval gates before actions) Implement security and privacy controls for AppSec AI usage (least privilege, secure handling of source code and secrets, prompt-injection resistance, auditability) Design AI/LLM security controls aligned to OWASP Top 10 for LLM Applications (input/output validation, jailbreak defenses, tool authorization, rate limiting, model/data governance) Define and enforce guardrails for secure AI adoption and advise product engineering teams Requirements Bachelor’s degree in Computer Science, Information Security, Engineering, or equivalent practical experience Hands-on application security experience across the software development lifecycle Strong understanding of application vulnerability classes and mitigations, including OWASP Top 10 Practical experience with SAST, DAST, SCA, and secrets scanning; integrate into CI/CD Working knowledge of at least one programming language (e.g., Python, Java, C#, JavaScript/TypeScript, or Go) Experience with threat modeling and secure design review methodologies Understanding of DevOps/DevSecOps practices, CI/CD pipelines, and secure-by-design principles Familiarity with cloud application security on at least one of Azure, AWS, or GCP Ability to work closely with and influence developers, architects, QA, DevOps, product, and security teams Ability to follow, maintain, and improve defined security processes Practical understanding of AI-assisted productivity and automation beyond basic chatbot usage (AI agents, LLM integrations, prompt engineering, secure AI tool usage) Strong communication skills across technical and non-technical stakeholders Benefits Hybrid by design with opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually; business-driven relocation opportunities Stable pay; Employee Stock Purchase Plan with 15% discount Comprehensive benefits package (health insurance, multisport, shopping vouchers) Referral bonuses up to $2,000 Career development programs, mentoring, soft skills and well-being programs Certification support (Anthropic, Gemini, GCP, Azure, AWS) and English classes Corporate social and well-being events; office amenities (entertainment zones, free snacks, coffee, and recreation) Benefits apply to employees; contractors are also considered under individually agreed B2B terms.