AI Application Engineer

Job Description Recruitment Background Targeting ¥300 billion in net sales by 2030, the company is driving AI-centric business transformation. By establishing proprietary AI-driven engineering and operational methodologies, the firm is enhancing productivity and creating high-value solutions across multiple business domains. In the cybersecurity domain, core functions such as vulnerability assessment, Security Operations Center (SOC) monitoring, and incident response rely heavily on specialized manual operations. Key strategic priorities include boosting productivity, ensuring standardized service quality, and securing scalability for business expansion. To address these challenges, the company is recruiting an AI Application Engineer to drive the development of next-generation cybersecurity platforms leveraging Generative AI and Large Language Models (LLMs). Beyond enhancing and automating existing security services, this role is tasked with planning and engineering novel AI-driven security products. This role spans the end-to-end product lifecycle—from identifying operational pain points and conceptualizing solutions to leading Proof of Concepts (PoC) and full-scale product development—aiming to fundamentally redefine cybersecurity through AI innovation. Your Role Centered on the theme of "AI × Cybersecurity," this role is responsible for driving end-to-end transformation across the product lifecycle—spanning new service ideation, software product engineering, and the operational overhaul of existing security service workflows. Responsibilities: ・Architecture and development of vulnerability assessment platforms and automation tools leveraging AI, LLMs, and third-party/proprietary APIs. ・Engineering AI systems to automate and enhance alert analysis and triage for Security Operations Centers (SOC), as well as log analysis and initial response for Incident Response (IR) operations. ・Driving AI-powered efficiency and automated testing frameworks across security products and service Quality Control (QC) processes. ・Conceptualizing, defining requirements for, and prototyping innovative AI-driven security services and products. ・Analyzing and codifying the tacit knowledge of security specialists (e.g., penetration testers, SOC analysts, IR specialists) into structured prompt engineering architectures and AI-driven execution workflows. *Note: You will be offered positions tailored to your experience and career goals. 【Position Highlights】 ・Pioneering the Frontier of AI × Cybersecurity: Opportunity to act as a industry game-changer by fundamentally transforming security operations—from traditionally labor-intensive vulnerability assessments to Security Operations Center (SOC) monitoring, Incident Response (IR), and Quality Control (QC)—through core AI integration. ・Driving Combined Technical & Business Excellence: Extends beyond pure software engineering into zero-to-one business building. Key candidate will directly participate in new business launch, product planning, and strategic growth as a foundational team member. ・Hands-on Modern Architecture & GenAI Implementation: Liberates engineers from legacy inefficiencies by utilizing Generative AI as a primary tool to design architectures built for high developer productivity and system reproducibility. ・Diverse & Flexible Career Trajectories: Offers tailored growth paths—ranging from deep technical specialization to executive technology leadership (Engineering Manager / Department Head) or tech-driven Product Management (PdM). Working Hours 9:00~18:15 Job Requirements Required ■ Experience developing systems that utilize generative AI (from requirements definition through design to implementation) *This assumes development involving actual coding (excluding experience limited to no-code tools) ■ Experience developing tools using Python, Go, Node.js, etc., or automating business processes using APIs ■ Strong commitment to secure system development Preferred ■ Experience developing web applications ■ Experience planning, defining requirements, and developing new services and products from scratch (0→1) ■ Knowledge of development using OpenAI APIs and prompt engineering ■ Experience developing and validating models using open-source LLMs such as Hugging Face ■ Experience building and fine-tuning models using PyTorch, TensorFlow, etc. ■In-depth understanding of security standards and compliance, such as the OWASP Top 10 ■Experience designing and building secure infrastructure on cloud platforms such as AWS, GCP, and Azure Ideal Applicants ■Strong resonance with the company’s core business purpose, long-term vision, and strategic direction. ■Demonstrates strong self-motivation, high professional standards, and a deep sense of ownership toward deliverables. ■Possesses a strong curiosity for emerging technologies and actively explores practical applications to drive solutions. ■Maintains an open, coachable mindset with the humility to absorb feedback and adapt quickly. ■Fosters an engaging, constructive work approach that elevates team morale and output. English Level None Japanese Level Business Level(JLPT Level 2 or N2) Holidays Five-Day Workweek Winter Holidays Paid Holidays etc Job Contract Period fulltime