AI & BI Engineer
About the job
- Practical experience with at least one LLM API, such as OpenAI, Anthropic Claude, or Azure OpenAI, or an equivalent.
- Python backend development experience, including REST API design, integration development, and asynchronous programming.
- Practical SQL skills, basic dashboard skills using Power BI or Tableau, and the ability to interpret business KPIs.
- Git version control skills, including basic branching, pull requests, and code reviews.
- Business-level or higher Japanese proficiency for daily communication with non-technical stakeholders; JLPT N1 or equivalent practical experience.
- Ability to define requirements, translate business needs into technical specifications, and communicate with stakeholders.
- A bachelor's degree or higher in computer science, information systems, engineering, or a related field.
- At least three years of practical software development experience, focused on API integration and backend development.
- A track record of building applications using LLM APIs or AI services; a portfolio or project examples are a plus.
- Ability to solve problems and work autonomously on ambiguous, open-ended challenges.
- Design and develop AI-enabled applications and automated workflows to solve specific business problems.
- Integrate LLM APIs, including OpenAI GPT, Claude, and Gemini, into business applications and internal tools.
- Build and maintain prompt-engineering frameworks to ensure consistent AI output.
- Develop internal and customer-facing chatbots, intelligent assistants, and conversational interfaces.
- Build AI-powered data-analysis tools and automated reporting pipelines.
- Integrate third-party AI services and APIs into existing business systems and workflows.
- Design RESTful or event-driven architectures connecting AI features with enterprise platforms such as CRM, ERP, and BI tools.
- Implement retrieval-augmented generation systems using internal knowledge bases and documents.
- Implement robust error handling, rate-limit management, and cost optimization for API use.
- Collaborate with business teams to identify challenges and explore opportunities for AI-driven efficiencies and new features.
- Translate business requirements into technical specifications and AI solution designs.
- Develop proofs of concept and rapid prototypes to validate AI use cases.
- Explain technical concepts and AI capabilities clearly to non-technical stakeholders.
- Analyze business data to identify trends, KPIs, and opportunities for measurable AI impact.
- Design and maintain dashboards and reports combining traditional BI metrics with AI-generated insights.
- Work with business teams to define data requirements and convert them into queries, pipelines, and AI workflows.
- Ensure data quality and contextual relevance, bridging raw data and AI applications.
- Build user-facing interfaces and internal tools that deliver AI features to business users.
- Develop interactive web applications with React and TypeScript to visualize AI output and enable user interaction.
- Implement streaming responses and real-time UI updates for conversational AI and chatbot interfaces.
- Integrate backend AI APIs into frontends with appropriate error handling and loading states.
- Work with designers to ensure the UI/UX quality of AI features.
- Build and maintain vector databases and embedding pipelines supporting semantic search and RAG applications.
- Work with data teams to ensure AI applications can access accurate, well-structured data.
- Design data-ingestion and preprocessing pipelines for AI workflows.
- Develop and implement testing strategies for AI output, including accuracy, relevance, and safety.
- Follow responsible AI guidelines covering data privacy, bias considerations, and content safety.
- Monitor and optimize the performance and cost of AI applications in production.
- Document AI solutions, APIs, and integration patterns to share knowledge with the team.
- Experience with AI orchestration frameworks such as LangChain or LlamaIndex.
- Experience with cloud platforms and their AI/ML services, such as AWS, Azure, or GCP.
- Frontend skills, including React and TypeScript, for prototyping AI-enabled user interfaces.
- Experience with AI workflow automation tools such as n8n or Microsoft Power Automate.
- Knowledge of Docker and basic CI/CD for API deployment.
- Business-level English for reading technical documentation and communicating with overseas teams.
- Experience with multimodal AI, such as image, audio, or document analysis through APIs.
About the company
Trend Micro provides cybersecurity solutions for businesses of all sizes, protecting against digital threats across finance, healthcare, and government. Its products monitor networks, endpoints, and cloud environments to detect and block attacks, using threat intelligence, AI, and big data analytics to identify and respond to threats. Customers access protections through software licenses and cloud security services, with optional consulting and managed services to support ongoing defense. The company aims to help organizations reduce risk by offering a broad, data-driven security portfolio that covers on-premises, cloud, and hybrid environments.
Company Size
5,001-10,000
Company Stage
IPO
Headquarters
Tokyo, Japan
Founded
1988
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Simplify's Take
What believers are saying
- Q2 2026 net sales rose 13%, while ARR reached $1.7 billion.
- Vision One added 2,900 customers, and net revenue retention hit 122%.
- Family Circle launched June 2026, expanding ScamCheck into family subscription protection.
What critics are saying
- Apex One CVE-2026-34926 was zero-day exploited in May 2026, damaging trust.
- Q2 2026 guidance cut operating income 23.2% because cloud and AI costs surged.
- Consumer ARR declined 1% in Q1 2026, weakening a legacy growth engine.
What makes Trend Micro unique
- TrendAI Vision One reached $1.3B ARR in Q2 2026, up 49% year over year.
- Trend Micro spans enterprise, consumer, and government security across 185 countries.
- Anthropic and NVIDIA partnerships deepen AI-security integration across detection, governance, and virtual patching.
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Benefits
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Mental Health Support
Wellness Program
Pet Insurance
401(k) Company Match
Paid Time Off
Paid Holidays
Tuition Assistance
Employee Resource Groups
Growth & Insights and Company News
6 month growth
1%1 year growth
1%2 year growth
1%US concerns over F-35 technology leaks and tightening controls on sensitive defence shipments are drawing investor attention to cybersecurity and secure logistics firms. Trend Micro, a Japanese cybersecurity platform provider serving enterprises and governments globally, has a market capitalisation of approximately ¥857.8 billion. The company generates revenue across Japan, Asia Pacific, Europe, and the Americas, with AI-infused capabilities including cyber risk management and digital twin security environments. BlackBerry, now focused on secure software and embedded systems for governments and transport sectors, earns around $283 million from its QNX division and $273 million from Secure Communications, supported by a CA$7.1 billion market cap. The shift in defence supply chain security is reshaping capital flows across the sector.
Japanese cybersecurity firm Trend Micro is deploying AI-powered security software across its Vision One platform and Deepfake Inspector, targeting risks from large language models. The company reported ¥296bn in diversified revenue across Japan, Asia Pacific, Europe and the Americas. Vision One's annual recurring revenue is growing, with new AI features planned for 2026. However, management warned of lower operating income this year as cloud and AI spending increases. The company faces near-term margin pressure alongside challenges in consumer and perpetual licence segments. Meanwhile, WingArc1st operates a data and document platform business in Japan, generating ¥31.4bn in revenue. Its invoiceAgent tool uses AI-powered optical character recognition to digitise and extract data from invoices and forms for automation workflows.
Trend Micro reported second-quarter 2026 financial results with annual recurring revenue exceeding $1.7 billion, up 5% year-over-year. The cybersecurity company posted consolidated net sales of JPY 74.7 billion ($468 million) for the quarter ending 30 June 2026. TrendAI Vision One ARR grew 49% year-over-year, now representing 45% of total enterprise ARR. The platform added over 2,900 customers in the past 12 months, with net revenue retention reaching 122%. Digital Life Protection ARR increased 52% year-over-year to $137 million. However, Trend Micro revised its full-year forecast downward due to rising cloud-related expenses, including AI token costs. The company now expects operating income to decrease 23.2% from the previous year, projecting JPY 44.4 billion ($284 million) for the year ending 31 December 2026.
TrendAI, the enterprise AI security division of Trend Micro, has adopted Claude Opus 5 to enhance vulnerability prioritisation and virtual patching capabilities. As a participant in Anthropic's Cyber Verification Program, TrendAI will use the advanced reasoning model to help security teams convert vulnerability intelligence into immediate protection across hybrid environments. The model will support TrendAI's work in threat research, combining frontier AI with proprietary intelligence and human expertise to generate pre-disclosure intelligence. These insights power TrendAI Vision One, delivering detection, forensic insights, and proactive protection through virtual patching. TrendAI chief platform and business officer Rachel Jin said the technology enables protection of organisations faster than software can be permanently patched, addressing the challenge of responding to vulnerabilities as AI makes finding them increasingly easy.
Trend Micro has integrated Anthropic's Claude Compliance API into its Vision One platform. The API, available to Claude Enterprise and Claude Platform customers, exposes conversation content including chats, uploaded files and projects, whilst surfacing activity events such as logins, administrative actions and configuration changes. Trend Micro said customers can deploy a self-hosted collector that runs locally, ensuring the compliance access key and Claude conversation content remain within their own environment to meet data residency requirements. The integration also offers a security information and event management option that correlates Claude telemetry with signals from endpoints, identities, networks, cloud services and email systems.