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AIFT

AIFT
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The employer was active about 17 hours ago
想要讓你的語言能力跟上 AI 浪潮嗎? 我們正在找尋對文字敏銳、對 AI 有好奇心的夥伴。這份工作不需要你會寫程式,而是需要你用中文、英文、韓文或阿拉伯文,幫忙檢測 AI 在不同語言環境下夠不夠安全、會不會被「教壞」。 如果你平常就在用 ChatGPT 或其他 AI 工具,且喜歡跟機器人對話,你就是我們要找的人! 🛠️ 工作內容: 當 AI 的「行為導師」(數據標註與分類):AI 就像小孩,需要有人告訴它什麼能說、什麼不能說。你會負責檢查 AI 接收到的指令,辨識出哪些是想套取個人隱私、或是故意誤導 AI 的惡意指令(例如:提示詞劫持)。你的任務是幫這些資料「貼標籤」,讓 AI 學習避開風險。幫 AI 找弱點(測試結果分析):實際操作我們的 Vulcan 平台,看看 AI 在不同狀況下的表現。把測試出來的數據整理成簡單易懂的圖表或報告,讓工程師知道哪裡還需要改進。 💰 待遇與環境 時薪: 200 元。時間: 09:00 - 18:00(每週至少 1 天,視工作量彈性調整)。地點: 台北市信義區(鄰近捷運台北 101 站)。 🚀 加入我們,你可以得到: 了解科技產業如何將外語專業應用於 AI 安全領域。 直接跟資深 AI 研究員和工程師合作,提早累積跨領域的技術視野。Use your linguistic flair to help AI get smarter.Want to keep your language skills ahead of the AI wave?We are looking for partners who are sensitive to text and curious about AI. This role doesn’t require coding skills. Instead, we need your expertise in Traditional Chinese, English, Korean, or Arabic to help test whether AI is secure enough across different languages and ensure it doesn't "learn the wrong things."If you regularly use ChatGPT or other AI tools and enjoy interacting with chatbots, you are exactly who we’re looking for!🛠️ Job ResponsibilitiesBe an "AI Behavioral Tutor" (Data Labeling Classification):AI is like a child; it needs someone to tell it what can and cannot be said.You will be responsible for checking instructions received by the AI, identifying malicious prompts intended to extract personal privacy or intentionally mislead the AI (e.g., Prompt Injection).Your task is to "label" this data, helping the AI learn how to avoid risks.Identify AI Weaknesses (Test Result Analysis):Hands-on operation of our Vulcan platform to observe AI performance in various scenarios.Organize test data into easy-to-understand charts or reports, helping engineers identify areas for improvement.💰 Compensation EnvironmentHourly Wage: NT$ 200.Working Hours: 09:00 - 18:00 (Minimum 1 day per week, flexible based on workload).Location: Xinyi District, Taipei City (Near MRT Taipei 101 Station).🚀 By Joining Us, You Will:Understand how the tech industry applies foreign language expertise to the field of AI security.Work directly with senior AI researchers and engineers, gaining early cross-disciplinary technical insights.
想要讓你的語言能力跟上 AI 浪潮嗎? 我們正在找尋對文字敏銳、對 AI 有好奇心的夥伴。這份工作不需要你會寫程式,而是需要你用中文、英文、韓文或阿拉伯文,幫忙檢測 AI 在不同語言環境下夠不夠安全、會不會被「教壞」。 如果你平常就在用 ChatGPT 或其他 AI 工具,且喜歡跟機器人對話,你就是我們要找的人! 🛠️ 工作內容: 當 AI 的「行為導師」(數據標註與分類):AI 就像小孩,需要有人告訴它什麼能說、什麼不能說。你會負責檢查 AI 接收到的指令,辨識出哪些是想套取個人隱私、或是故意誤導 AI 的惡意指令(例如:提示詞劫持)。你的任務是幫這些資料「貼標籤」,讓 AI 學習避開風險。幫 AI 找弱點(測試結果分析):實際操作我們的 Vulcan 平台,看看 AI 在不同狀況下的表現。把測試出來的數據整理成簡單易懂的圖表或報告,讓工程師知道哪裡還需要改進。 💰 待遇與環境 時薪: 200 元。時間: 09:00 - 18:00(每週至少 1 天,視工作量彈性調整)。地點: 台北市信義區(鄰近捷運台北 101 站)。 🚀 加入我們,你可以得到: 了解科技產業如何將外語專業應用於 AI 安全領域。 直接跟資深 AI 研究員和工程師合作,提早累積跨領域的技術視野。Use your linguistic flair to help AI get smarter.Want to keep your language skills ahead of the AI wave?We are looking for partners who are sensitive to text and curious about AI. This role doesn’t require coding skills. Instead, we need your expertise in Traditional Chinese, English, Korean, or Arabic to help test whether AI is secure enough across different languages and ensure it doesn't "learn the wrong things."If you regularly use ChatGPT or other AI tools and enjoy interacting with chatbots, you are exactly who we’re looking for!🛠️ Job ResponsibilitiesBe an "AI Behavioral Tutor" (Data Labeling Classification):AI is like a child; it needs someone to tell it what can and cannot be said.You will be responsible for checking instructions received by the AI, identifying malicious prompts intended to extract personal privacy or intentionally mislead the AI (e.g., Prompt Injection).Your task is to "label" this data, helping the AI learn how to avoid risks.Identify AI Weaknesses (Test Result Analysis):Hands-on operation of our Vulcan platform to observe AI performance in various scenarios.Organize test data into easy-to-understand charts or reports, helping engineers identify areas for improvement.💰 Compensation EnvironmentHourly Wage: NT$ 200.Working Hours: 09:00 - 18:00 (Minimum 1 day per week, flexible based on workload).Location: Xinyi District, Taipei City (Near MRT Taipei 101 Station).🚀 By Joining Us, You Will:Understand how the tech industry applies foreign language expertise to the field of AI security.Work directly with senior AI researchers and engineers, gaining early cross-disciplinary technical insights.
Xinyi District, Taipei City, Taiwan
200 TWD / hour
No requirement for relevant working experience
No management responsibility
[Job Overview]We are looking for an experienced Senior Data Engineer to join our engineering team and play a key role in building and scaling our enterprise data platform. You will design, develop, and maintain high-quality data warehouses and data-driven applications that power analytics, reconciliation, and business decision-making across the organization.This role requires strong expertise in modern data architectures, pipeline engineering, and data quality management. The ideal candidate combines hands-on technical capability with a deep commitment to reliability, scalability, and governance in a regulated environment.[Responsibilities]· Data operations: own day-to-day operations of data platforms/pipelines capacity, stability, upgrades, deployments, and recovery drills to sustain high availability and low latency.· Data collection: design/manage multi-source ingestion (exchanges, internal and external systems), protocol parsing, and robust retry mechanisms.· Develop rule-based and statistical data quality checks (completeness, uniqueness, time alignment, anomaly detection, error handling).· Implement automated remediation, reconciliation workflows, and historical backfilling.· Establish monitoring and alerting frameworks to ensure trusted, production-grade datasets.· End-to-End pipelines: plan and maintain scalable ETL/ELT including scheduling, caching, partitioning, modelling, schema evolution, and lineage to support both batch and real-time streaming.· Enforce data access controls, encryption, auditing, and classification to comply with internal policies and external regulatory requirements (including PII management).· Apply Infrastructure-as-Code, data versioning, data tests, and CI/CD to improve predictability and reduce manual risk.· Contribute to embedded GenAI and LLM-powered data applications for enterprise analytics, reconciliation, and internal productivity use cases.· Partner with analytics and product teams to operationalize AI-driven data solutions.
[Job Overview]We are looking for an experienced Senior Data Engineer to join our engineering team and play a key role in building and scaling our enterprise data platform. You will design, develop, and maintain high-quality data warehouses and data-driven applications that power analytics, reconciliation, and business decision-making across the organization.This role requires strong expertise in modern data architectures, pipeline engineering, and data quality management. The ideal candidate combines hands-on technical capability with a deep commitment to reliability, scalability, and governance in a regulated environment.[Responsibilities]· Data operations: own day-to-day operations of data platforms/pipelines capacity, stability, upgrades, deployments, and recovery drills to sustain high availability and low latency.· Data collection: design/manage multi-source ingestion (exchanges, internal and external systems), protocol parsing, and robust retry mechanisms.· Develop rule-based and statistical data quality checks (completeness, uniqueness, time alignment, anomaly detection, error handling).· Implement automated remediation, reconciliation workflows, and historical backfilling.· Establish monitoring and alerting frameworks to ensure trusted, production-grade datasets.· End-to-End pipelines: plan and maintain scalable ETL/ELT including scheduling, caching, partitioning, modelling, schema evolution, and lineage to support both batch and real-time streaming.· Enforce data access controls, encryption, auditing, and classification to comply with internal policies and external regulatory requirements (including PII management).· Apply Infrastructure-as-Code, data versioning, data tests, and CI/CD to improve predictability and reduce manual risk.· Contribute to embedded GenAI and LLM-powered data applications for enterprise analytics, reconciliation, and internal productivity use cases.· Partner with analytics and product teams to operationalize AI-driven data solutions.
Xinyi District, Taipei City, Taiwan
Negotiable
5 years of experience required
No management responsibility
Our Product Vulcan is a cybersecurity solution specifically designed for GenAI, offering two core services: Red Team (vulnerability assessment) and Blue Team (real-time defense). It ensures GenAI compliance, cybersecurity robustness, and operational integrity. Since its official launch in 2024, Vulcan has been recognized by the international standard-setting organization OWASP as a certified vendor for LLM GenAI security testing and assessment. It is one of the few solutions capable of supporting multiple Asian languages (Traditional Chinese, Simplified Chinese, Japanese, Korean, Thai) and Standard Arabic. Learn more about us 👉 Vulcan product: https://vulcanlab.ai/Vulcan LinkedIn: https://www.linkedin.com/company/vulcanlab-ai/AIFT group: https://aift.io/ About the role We are seeking an experienced Machine Learning Lead to helm our Machine Learning team. In this pivotal role, you will be the engineering architect behind Vulcan’s core AI capabilities. You will act as the nexus between Research, Platform, and Product. Your mission is to translate cutting-edge findings on GenAI threats into robust, production-ready machine learning models that power our GenAI Security Guardrails (Blue Team) and Automated Vulnerability Assessment (Red Team). Crucially, you will serve as the bridge between deep tech and business strategy, articulating technical constraints (like FLOPS and latency) to leadership and clients while guiding the engineering direction.How to Apply Please apply this position through 👉 https://job-boards.greenhouse.io/aift/jobs/5797377004 It will help us process your applications faster!! Key Responsibilities 1. Model Development Optimization (Training Fine-tuning): Research to Production: Collaborate with the Security Research Team to operationalize new threat detection techniques. They identify the "what" (e.g., new prompt injection patterns); you determine the "how" (model architecture, training strategy). Fine-tuning Adaptation: Lead the fine-tuning of Language Models (e.g., using LoRA/PEFT) to optimize for our supported muti-lingual languages and specific security intents. Multimodal Readiness: Prepare the system for Multimodal (Text + Image/Audio) capabilities. Evaluate and implement models to detect visual prompt injections and non-textual threats as the product evolves. 2. MLOps Data Infrastructure: Enhance Scale MLOps: Take ownership of our existing ML pipelines. Focus on optimizing and scaling CI/CD/CT workflows to improve training efficiency and deployment velocity. Data Governance: Implement and enforce rigorous Data Versioning strategies (e.g., DVC) to ensure complete reproducibility of model artifacts and datasets. Monitoring Reliability: Maintain rigorous monitoring for model drift and performance, ensuring high reliability in a production security environment. 3. Cross-Functional Implementation Leadership: Platform Collaboration: Work closely with the Platform Engineering Team to integrate ML models into the broader product architecture. Ensure seamless interaction between model inference services and the main platform logic. Team Leadership: Lead and mentor Machine Learning Engineers, fostering a culture of engineering rigor, code quality, and operational excellence. Resource Management: Manage GPU resources and compute budgets effectively for both training and inference workloads. 4. Technical Strategy Stakeholder Management: Translating Tech to Business: Act as the technical voice of the ML team. You must effectively explain complex ML concepts (e.g., FLOPS, quantization trade-offs, model latency vs. accuracy) to executive leadership and clients. Cost-Benefit Analysis: Justify compute resource investments. Articulate the trade-off between infrastructure costs (GPU hours) and performance gains to non-technical stakeholders. -
Our Product Vulcan is a cybersecurity solution specifically designed for GenAI, offering two core services: Red Team (vulnerability assessment) and Blue Team (real-time defense). It ensures GenAI compliance, cybersecurity robustness, and operational integrity. Since its official launch in 2024, Vulcan has been recognized by the international standard-setting organization OWASP as a certified vendor for LLM GenAI security testing and assessment. It is one of the few solutions capable of supporting multiple Asian languages (Traditional Chinese, Simplified Chinese, Japanese, Korean, Thai) and Standard Arabic. Learn more about us 👉 Vulcan product: https://vulcanlab.ai/Vulcan LinkedIn: https://www.linkedin.com/company/vulcanlab-ai/AIFT group: https://aift.io/ About the role We are seeking an experienced Machine Learning Lead to helm our Machine Learning team. In this pivotal role, you will be the engineering architect behind Vulcan’s core AI capabilities. You will act as the nexus between Research, Platform, and Product. Your mission is to translate cutting-edge findings on GenAI threats into robust, production-ready machine learning models that power our GenAI Security Guardrails (Blue Team) and Automated Vulnerability Assessment (Red Team). Crucially, you will serve as the bridge between deep tech and business strategy, articulating technical constraints (like FLOPS and latency) to leadership and clients while guiding the engineering direction.How to Apply Please apply this position through 👉 https://job-boards.greenhouse.io/aift/jobs/5797377004 It will help us process your applications faster!! Key Responsibilities 1. Model Development Optimization (Training Fine-tuning): Research to Production: Collaborate with the Security Research Team to operationalize new threat detection techniques. They identify the "what" (e.g., new prompt injection patterns); you determine the "how" (model architecture, training strategy). Fine-tuning Adaptation: Lead the fine-tuning of Language Models (e.g., using LoRA/PEFT) to optimize for our supported muti-lingual languages and specific security intents. Multimodal Readiness: Prepare the system for Multimodal (Text + Image/Audio) capabilities. Evaluate and implement models to detect visual prompt injections and non-textual threats as the product evolves. 2. MLOps Data Infrastructure: Enhance Scale MLOps: Take ownership of our existing ML pipelines. Focus on optimizing and scaling CI/CD/CT workflows to improve training efficiency and deployment velocity. Data Governance: Implement and enforce rigorous Data Versioning strategies (e.g., DVC) to ensure complete reproducibility of model artifacts and datasets. Monitoring Reliability: Maintain rigorous monitoring for model drift and performance, ensuring high reliability in a production security environment. 3. Cross-Functional Implementation Leadership: Platform Collaboration: Work closely with the Platform Engineering Team to integrate ML models into the broader product architecture. Ensure seamless interaction between model inference services and the main platform logic. Team Leadership: Lead and mentor Machine Learning Engineers, fostering a culture of engineering rigor, code quality, and operational excellence. Resource Management: Manage GPU resources and compute budgets effectively for both training and inference workloads. 4. Technical Strategy Stakeholder Management: Translating Tech to Business: Act as the technical voice of the ML team. You must effectively explain complex ML concepts (e.g., FLOPS, quantization trade-offs, model latency vs. accuracy) to executive leadership and clients. Cost-Benefit Analysis: Justify compute resource investments. Articulate the trade-off between infrastructure costs (GPU hours) and performance gains to non-technical stakeholders. -
Taipei City, Taiwan
1.8M ~ 2.3M TWD / year
5 years of experience required
Managing 1-5 staff
AIFT Enterprise is building next-generation B2B / enterprise security and safety products, including Vulcan and Cymetrics, combining AI-driven and traditional security technologies. We are looking for a Senior Product Designer who is equally strong in product UI/UX design and visual design for go-to-market purposes. This role is ideal for someone who can think strategically, identify real user problems, and also execute high-quality design work in a fast-moving startup environment. As a Senior Product Designer, you will play a key role in shaping our SaaS products for the APAC and GCC market, working closely with product, engineering, business, and marketing teams to bring complex enterprise solutions to life. Learn more about us 👉 Vulcan product: https://vulcanlab.ai/Vulcan LinkedIn: https://www.linkedin.com/company/vulcanlab-ai/AIFT group: https://aift.io/ - How to apply It will help us process your applications faster throughhttps://job-boards.greenhouse.io/aift/jobs/5749286004*Please apply with English CV, thank you. - What you'll doPartner closely with Product Managers and Engineers to translate user needs, business requirements, and technical constraints into intuitive and scalable B2B product experiences.Own end-to-end product design workflows, including user journeys, flows, wireframes, high-fidelity UI, and interactive prototypes.Design high-quality visual assets for marketing and business purposes, such as landing pages, product visuals, sales materials, and feature highlights.Proactively identify design problems and usability gaps, and propose thoughtful, feasible design solutions backed by clear reasoning.Maintain and evolve design systems, UI components, and design patterns to ensure consistency across products.Collaborate with cross-functional stakeholders and clearly articulate design decisions, trade-offs, and rationale.Present design work to stakeholders, gather feedback, and iterate effectively.(Nice to have) Provide guidance, feedback, or mentorship to junior designers when needed. -
AIFT Enterprise is building next-generation B2B / enterprise security and safety products, including Vulcan and Cymetrics, combining AI-driven and traditional security technologies. We are looking for a Senior Product Designer who is equally strong in product UI/UX design and visual design for go-to-market purposes. This role is ideal for someone who can think strategically, identify real user problems, and also execute high-quality design work in a fast-moving startup environment. As a Senior Product Designer, you will play a key role in shaping our SaaS products for the APAC and GCC market, working closely with product, engineering, business, and marketing teams to bring complex enterprise solutions to life. Learn more about us 👉 Vulcan product: https://vulcanlab.ai/Vulcan LinkedIn: https://www.linkedin.com/company/vulcanlab-ai/AIFT group: https://aift.io/ - How to apply It will help us process your applications faster throughhttps://job-boards.greenhouse.io/aift/jobs/5749286004*Please apply with English CV, thank you. - What you'll doPartner closely with Product Managers and Engineers to translate user needs, business requirements, and technical constraints into intuitive and scalable B2B product experiences.Own end-to-end product design workflows, including user journeys, flows, wireframes, high-fidelity UI, and interactive prototypes.Design high-quality visual assets for marketing and business purposes, such as landing pages, product visuals, sales materials, and feature highlights.Proactively identify design problems and usability gaps, and propose thoughtful, feasible design solutions backed by clear reasoning.Maintain and evolve design systems, UI components, and design patterns to ensure consistency across products.Collaborate with cross-functional stakeholders and clearly articulate design decisions, trade-offs, and rationale.Present design work to stakeholders, gather feedback, and iterate effectively.(Nice to have) Provide guidance, feedback, or mentorship to junior designers when needed. -
Taipei City, Taiwan
980K ~ 1.4M TWD / year
5 years of experience required
No management responsibility
AIFT Enterprise is building next-generation B2B / enterprise security and safety products, including Vulcan and Cymetrics, combining AI-driven and traditional security technologies. We are looking for a Senior Project Manager with strong experience in software project management, data curation workflows, and cross-regional localization operations. This role is critical to ensuring high-quality localized data that directly supports ML model training, evaluation, and benchmarking. You will work at the intersection of product, AI/ML, engineering, and localization teams, owning delivery quality, execution excellence, and risk management in a fast-moving startup environment. Learn more about us 👉 Vulcan product: https://vulcanlab.ai/Vulcan LinkedIn: https://www.linkedin.com/company/vulcanlab-ai/AIFT group: https://aift.io/ - How to apply It will help us process your applications faster throughhttps://job-boards.greenhouse.io/aift/jobs/5749640004*Please apply with English CV, thank you. - What you'll do Manage end-to-end software, data curation, and localization projects for AI/ML use cases.Lead and coordinate a localization team, including task planning, assignment, and progress tracking.Define and enforce quality standards to ensure localized data is suitable for model training and evaluation.Create onboarding materials and guidelines to enable localization contributors to deliver consistent, high-quality output.Communicate clearly with cross-functional stakeholders across regions and time zones. -
AIFT Enterprise is building next-generation B2B / enterprise security and safety products, including Vulcan and Cymetrics, combining AI-driven and traditional security technologies. We are looking for a Senior Project Manager with strong experience in software project management, data curation workflows, and cross-regional localization operations. This role is critical to ensuring high-quality localized data that directly supports ML model training, evaluation, and benchmarking. You will work at the intersection of product, AI/ML, engineering, and localization teams, owning delivery quality, execution excellence, and risk management in a fast-moving startup environment. Learn more about us 👉 Vulcan product: https://vulcanlab.ai/Vulcan LinkedIn: https://www.linkedin.com/company/vulcanlab-ai/AIFT group: https://aift.io/ - How to apply It will help us process your applications faster throughhttps://job-boards.greenhouse.io/aift/jobs/5749640004*Please apply with English CV, thank you. - What you'll do Manage end-to-end software, data curation, and localization projects for AI/ML use cases.Lead and coordinate a localization team, including task planning, assignment, and progress tracking.Define and enforce quality standards to ensure localized data is suitable for model training and evaluation.Create onboarding materials and guidelines to enable localization contributors to deliver consistent, high-quality output.Communicate clearly with cross-functional stakeholders across regions and time zones. -
Taipei City, Taiwan
1.1M ~ 1.68M TWD / year
5 years of experience required
No management responsibility
We are seeking a Senior Software Engineer to be the technical heartbeat of our GenAI security capabilities. In this role, you sit at the exciting intersection of Research and Product, turning breakthrough experiments into scalable, production-grade software. You won’t just be implementing features; you’ll be designing the sophisticated tooling and AI Agent architectures that make the Vulcan Platform unique. We offer a playground for builders who want to solve unsolved problems, master advanced prompt engineering, and work alongside a world-class team. Come build the shield for the AI era and expand your technical horizons. Learn more about us 👉 Vulcan product: https://vulcanlab.ai/Vulcan LinkedIn:https://www.linkedin.com/company/vulcanlab-ai/AIFT group:https://aift.io/ - How to apply Please apply with English CVthroughhttps://job-boards.greenhouse.io/aift/jobs/5744136004 Thank you! - What you'll do 1. Core Application Platform Development (Full Stack) Vulcan Platform: Partner with Product and Design to build intuitive frontend interfaces (React, Next.js) for dashboards, configuration consoles, and visualization tools. Backend Services APIs:Develop and maintain the essential APIs (FastAPI/Python) and microservices that power the Vulcan platform. Architect robust task execution systems using Message Queues (Celery, RabbitMQ) to handle long-running asynchronous AI inference tasks. Internal Tooling Ecosystem: Build frontend and backend tools that accelerate internal teams (Project, ML/AI), including configuration panels, data visualization pipelines, and evaluation interfaces. Guardrails Security Features: Implement backend services for AI guardrails (content moderation, prompt filtering) and automated adversarial testing pipelines. 2. GenAI Agent Logic Engineering Prompt Engineering as Code: Treat prompts as software logic. Lead the design and implementation of AI Agent behaviors, optimizing responses through structured Prompt Engineering techniques. Agent Workflow Design: Orchestrate complex, multi-step LLM workflows where the "application logic" involves chaining model interactions effectively. Response Handling: Design robust parsing and validation mechanisms to ensure raw model outputs are converted into structured, usable application data. -
We are seeking a Senior Software Engineer to be the technical heartbeat of our GenAI security capabilities. In this role, you sit at the exciting intersection of Research and Product, turning breakthrough experiments into scalable, production-grade software. You won’t just be implementing features; you’ll be designing the sophisticated tooling and AI Agent architectures that make the Vulcan Platform unique. We offer a playground for builders who want to solve unsolved problems, master advanced prompt engineering, and work alongside a world-class team. Come build the shield for the AI era and expand your technical horizons. Learn more about us 👉 Vulcan product: https://vulcanlab.ai/Vulcan LinkedIn:https://www.linkedin.com/company/vulcanlab-ai/AIFT group:https://aift.io/ - How to apply Please apply with English CVthroughhttps://job-boards.greenhouse.io/aift/jobs/5744136004 Thank you! - What you'll do 1. Core Application Platform Development (Full Stack) Vulcan Platform: Partner with Product and Design to build intuitive frontend interfaces (React, Next.js) for dashboards, configuration consoles, and visualization tools. Backend Services APIs:Develop and maintain the essential APIs (FastAPI/Python) and microservices that power the Vulcan platform. Architect robust task execution systems using Message Queues (Celery, RabbitMQ) to handle long-running asynchronous AI inference tasks. Internal Tooling Ecosystem: Build frontend and backend tools that accelerate internal teams (Project, ML/AI), including configuration panels, data visualization pipelines, and evaluation interfaces. Guardrails Security Features: Implement backend services for AI guardrails (content moderation, prompt filtering) and automated adversarial testing pipelines. 2. GenAI Agent Logic Engineering Prompt Engineering as Code: Treat prompts as software logic. Lead the design and implementation of AI Agent behaviors, optimizing responses through structured Prompt Engineering techniques. Agent Workflow Design: Orchestrate complex, multi-step LLM workflows where the "application logic" involves chaining model interactions effectively. Response Handling: Design robust parsing and validation mechanisms to ensure raw model outputs are converted into structured, usable application data. -
Taipei City, Taiwan
1.3M ~ 1.8M TWD / year
3 years of experience required
No management responsibility
Vulcan’s mission is to keep Generative AI safe, secure, and compliant for organizations worldwide. As a Frontend Software Engineer, you’ll build intuitive, high-performance user interfaces for products like Vulcan Protect (real-time monitoring dashboards) and Vulcan Attack (security insights and controls for automated vulnerability assessments). Working with a modern frontend-focused tech stack, you’ll collaborate closely with AI security experts and backend engineers to translate complex security, compliance, and reliability challenges into clear, actionable user experiences. In this dynamic, mission-driven environment, you’ll write high-quality, maintainable frontend code, contribute to UI/UX and architectural design reviews, and help shape products that make GenAI adoption safer and smarter. We value people who are creative, speak up with their ideas, take ownership as a team player, actively engage in discussions, are eager to learn, and are easy to collaborate with. Learn more about us 👉 Vulcan product: https://vulcanlab.ai/Vulcan LinkedIn:https://www.linkedin.com/company/vulcanlab-ai/AIFT group:https://aift.io/ - How to apply Please apply with English CVthroughhttps://job-boards.greenhouse.io/aift/jobs/5744133004 Thank you! - What you'll do Focus primarily on building and maintaining features for Vulcan’s products, with an emphasis on frontend development using TypeScript, React, Next.js, React Query, Tailwind CSS, etc. Utilize additional tools and technologies as needed with GitLab CI, Docker, shell scripting, etc. Write clean, efficient, and testable code, primarily for frontend systems, with some backend contributions. Collaborate with team members during design and code reviews to build scalable, high-quality solutions, with a focus on frontend architecture. Troubleshoot and resolve technical issues by analyzing logs, system performance, and user feedback. Build and maintain internal tools to support project teams. Contribute to documentation and keep it current as our products and team grow, with an emphasis on frontend-related updates. -
Vulcan’s mission is to keep Generative AI safe, secure, and compliant for organizations worldwide. As a Frontend Software Engineer, you’ll build intuitive, high-performance user interfaces for products like Vulcan Protect (real-time monitoring dashboards) and Vulcan Attack (security insights and controls for automated vulnerability assessments). Working with a modern frontend-focused tech stack, you’ll collaborate closely with AI security experts and backend engineers to translate complex security, compliance, and reliability challenges into clear, actionable user experiences. In this dynamic, mission-driven environment, you’ll write high-quality, maintainable frontend code, contribute to UI/UX and architectural design reviews, and help shape products that make GenAI adoption safer and smarter. We value people who are creative, speak up with their ideas, take ownership as a team player, actively engage in discussions, are eager to learn, and are easy to collaborate with. Learn more about us 👉 Vulcan product: https://vulcanlab.ai/Vulcan LinkedIn:https://www.linkedin.com/company/vulcanlab-ai/AIFT group:https://aift.io/ - How to apply Please apply with English CVthroughhttps://job-boards.greenhouse.io/aift/jobs/5744133004 Thank you! - What you'll do Focus primarily on building and maintaining features for Vulcan’s products, with an emphasis on frontend development using TypeScript, React, Next.js, React Query, Tailwind CSS, etc. Utilize additional tools and technologies as needed with GitLab CI, Docker, shell scripting, etc. Write clean, efficient, and testable code, primarily for frontend systems, with some backend contributions. Collaborate with team members during design and code reviews to build scalable, high-quality solutions, with a focus on frontend architecture. Troubleshoot and resolve technical issues by analyzing logs, system performance, and user feedback. Build and maintain internal tools to support project teams. Contribute to documentation and keep it current as our products and team grow, with an emphasis on frontend-related updates. -
Taipei City, Taiwan
900K ~ 1.2M TWD / year
2 years of experience required
No management responsibility
Our Product Vulcan is a cybersecurity solution specifically designed for GenAI, offering two core services: Red Team (vulnerability assessment) and Blue Team (real-time defense). It ensures GenAI compliance, cybersecurity robustness, and operational integrity. Since its official launch in 2024, Vulcan has been recognized by the international standard-setting organization OWASP as a certified vendor for LLM GenAI security testing and assessment. It is one of the few solutions capable of supporting multiple Asian languages (Traditional Chinese, Simplified Chinese, Japanese, Korean, Thai) and Standard Arabic. Learn more about us 👉 Vulcan product: https://vulcanlab.ai/Vulcan LinkedIn: https://www.linkedin.com/company/vulcanlab-ai/AIFT group: https://aift.io/Tech Blog: https://medium.com/onedegree-tech-blog About the role We are looking for a talented Machine Learning Engineer to join our Product Core Engineering team. You will be responsible for building and optimizing machine learning workflows that directly power our AI-driven products. This role focuses on the full lifecycle of model development — from training and fine-tuning to deployment and monitoring — ensuring robust and efficient ML systems at scale. Why Join Us? Product Impact: Your work will be directly embedded in our core AI products, shaping user experience and product capabilities.Engineering Excellence: Be part of a team that values high-quality engineering, reproducibility, and scalability.Innovation: Opportunity to experiment with cutting-edge ML and GenAI technologies in production settings.Collaboration: Work alongside backend, platform, and product teams in a highly collaborative environment.Competitive Package: Receive attractive compensation and benefits aligned with your skills and performance.How to Apply Please apply this position through 👉 https://job-boards.greenhouse.io/aift/jobs/5652688004 It will help us process your applications faster!! Key Responsibilities Model Development: Design and implement training processes for machine learning classifiers and generative models.Fine-tuning Prompting: Adapt pre-trained models to specific product needs through fine-tuning, prompt engineering, and parameter optimization.Hyperparameter Management: Configure and tune hyperparameters to balance accuracy, robustness, and performance.Pipeline Engineering: Build scalable training and evaluation pipelines to support continuous experimentation.Integration: Collaborate with backend and product engineers to deploy models into production systems.Monitoring Maintenance: Establish monitoring metrics and retraining strategies to maintain model performance in dynamic environments. -
Our Product Vulcan is a cybersecurity solution specifically designed for GenAI, offering two core services: Red Team (vulnerability assessment) and Blue Team (real-time defense). It ensures GenAI compliance, cybersecurity robustness, and operational integrity. Since its official launch in 2024, Vulcan has been recognized by the international standard-setting organization OWASP as a certified vendor for LLM GenAI security testing and assessment. It is one of the few solutions capable of supporting multiple Asian languages (Traditional Chinese, Simplified Chinese, Japanese, Korean, Thai) and Standard Arabic. Learn more about us 👉 Vulcan product: https://vulcanlab.ai/Vulcan LinkedIn: https://www.linkedin.com/company/vulcanlab-ai/AIFT group: https://aift.io/Tech Blog: https://medium.com/onedegree-tech-blog About the role We are looking for a talented Machine Learning Engineer to join our Product Core Engineering team. You will be responsible for building and optimizing machine learning workflows that directly power our AI-driven products. This role focuses on the full lifecycle of model development — from training and fine-tuning to deployment and monitoring — ensuring robust and efficient ML systems at scale. Why Join Us? Product Impact: Your work will be directly embedded in our core AI products, shaping user experience and product capabilities.Engineering Excellence: Be part of a team that values high-quality engineering, reproducibility, and scalability.Innovation: Opportunity to experiment with cutting-edge ML and GenAI technologies in production settings.Collaboration: Work alongside backend, platform, and product teams in a highly collaborative environment.Competitive Package: Receive attractive compensation and benefits aligned with your skills and performance.How to Apply Please apply this position through 👉 https://job-boards.greenhouse.io/aift/jobs/5652688004 It will help us process your applications faster!! Key Responsibilities Model Development: Design and implement training processes for machine learning classifiers and generative models.Fine-tuning Prompting: Adapt pre-trained models to specific product needs through fine-tuning, prompt engineering, and parameter optimization.Hyperparameter Management: Configure and tune hyperparameters to balance accuracy, robustness, and performance.Pipeline Engineering: Build scalable training and evaluation pipelines to support continuous experimentation.Integration: Collaborate with backend and product engineers to deploy models into production systems.Monitoring Maintenance: Establish monitoring metrics and retraining strategies to maintain model performance in dynamic environments. -
Taipei City, Taiwan
1.3M ~ 1.8M TWD / year
2 years of experience required
No management responsibility
About Us AIFT is at the forefront of AI safety and security, developing cutting-edge solutions, Vulcan Attack (automated vulnerability assessment/red teaming) and Vulcan Protect (real-time monitoring), to ensure AI systems are robust, trustworthy, and aligned with societal needs. Our Product Vulcan is a cybersecurity solution specifically designed for GenAI, offering two core services: Red Team (vulnerability assessment) and Blue Team (real-time defense). It ensures GenAI compliance, cybersecurity robustness, and operational integrity. Since its official launch in 2024, Vulcan has been recognized by the international standard-setting organization OWASP as a certified vendor for LLM GenAI security testing and assessment. It is one of the few solutions capable of supporting multiple Asian languages (Traditional Chinese, Simplified Chinese, Japanese, Korean, Thai) and Standard Arabic. The Role We are seeking a passionate and highly skilled GenAI Security Researcher to join our team. You will conduct applied and theoretical research into AI vulnerabilities, attack/defense methods, and security/safety benchmarking. Your work will directly shape our AI safety products, contribute to research communities, and influence industry standards and regulations. Location Asia (e.g. Taipei, Hong Kong, Singapore, South Korea, Japan) or Remote What You'll Do Research: Investigate adversarial attacks, data poisoning, prompt injection, jailbreaks, and other AI system vulnerabilities in multi-modalities (e.g., text, image, video, and audio). Design and evaluate mitigation strategies, including fine-tuning, guardrails, content filtering, and robust model architectures.Benchmarking: Develop and maintain AI security evaluation frameworks, datasets, and performance metrics.Collaboration: Partner with product and partnership teams to integrate the findings into our AI security solutions.Dissemination: Publish findings in top-tier conferences and journals, present at industry events, and contribute to open-source initiatives.
About Us AIFT is at the forefront of AI safety and security, developing cutting-edge solutions, Vulcan Attack (automated vulnerability assessment/red teaming) and Vulcan Protect (real-time monitoring), to ensure AI systems are robust, trustworthy, and aligned with societal needs. Our Product Vulcan is a cybersecurity solution specifically designed for GenAI, offering two core services: Red Team (vulnerability assessment) and Blue Team (real-time defense). It ensures GenAI compliance, cybersecurity robustness, and operational integrity. Since its official launch in 2024, Vulcan has been recognized by the international standard-setting organization OWASP as a certified vendor for LLM GenAI security testing and assessment. It is one of the few solutions capable of supporting multiple Asian languages (Traditional Chinese, Simplified Chinese, Japanese, Korean, Thai) and Standard Arabic. The Role We are seeking a passionate and highly skilled GenAI Security Researcher to join our team. You will conduct applied and theoretical research into AI vulnerabilities, attack/defense methods, and security/safety benchmarking. Your work will directly shape our AI safety products, contribute to research communities, and influence industry standards and regulations. Location Asia (e.g. Taipei, Hong Kong, Singapore, South Korea, Japan) or Remote What You'll Do Research: Investigate adversarial attacks, data poisoning, prompt injection, jailbreaks, and other AI system vulnerabilities in multi-modalities (e.g., text, image, video, and audio). Design and evaluate mitigation strategies, including fine-tuning, guardrails, content filtering, and robust model architectures.Benchmarking: Develop and maintain AI security evaluation frameworks, datasets, and performance metrics.Collaboration: Partner with product and partnership teams to integrate the findings into our AI security solutions.Dissemination: Publish findings in top-tier conferences and journals, present at industry events, and contribute to open-source initiatives.
Taipei City, Taiwan, Seoul-si, Republic of Korea, Hong Kong S.A.R, Republic of Singapore, Japan
Negotiable
No requirement for relevant working experience
No management responsibility
Job OverviewOneSavie Lab是一個結合 Web3與AI科技的頂尖實驗室,致力於為Web3 生態系統以及眾多參與者提供先進的智能風險監控和管理工具,包括中心化和去中心化的多元策略選擇。 OneSavie Lab的核心使命是為投資者、機構和其他虛擬資產領域的利益相關者提供全方位的支持。從代幣風險監控、資產情報分析,到Web3的風控諮詢,我們都能提供專業、精確的服務,在新興領域為客戶護航。 OneSavieLab 在招募員工時,無論是哪一個職位,我們都不斷尋找能在信任、願意接受反饋、勇與改變和熱衷了解加密貨幣的文化中和我們一起茁壯成長的夥伴。 How to apply Please apply this position through 👉https://grnh.se/a2f2c2e84usIt will help us process your applications faster! Responsibilities在這個實習中你將與我們的產品負責人、產品設計師與工程師搭檔,不斷優化我們的Web3合規監控產品,為全球的監管單位與機構提供更好的支持。與其他工程師、設計師、產品經理和高階領導層合作,將我們的產品和技術願景轉變為實際的開發路線,並編寫高品質的程式碼來滿足客戶的需求。
Job OverviewOneSavie Lab是一個結合 Web3與AI科技的頂尖實驗室,致力於為Web3 生態系統以及眾多參與者提供先進的智能風險監控和管理工具,包括中心化和去中心化的多元策略選擇。 OneSavie Lab的核心使命是為投資者、機構和其他虛擬資產領域的利益相關者提供全方位的支持。從代幣風險監控、資產情報分析,到Web3的風控諮詢,我們都能提供專業、精確的服務,在新興領域為客戶護航。 OneSavieLab 在招募員工時,無論是哪一個職位,我們都不斷尋找能在信任、願意接受反饋、勇與改變和熱衷了解加密貨幣的文化中和我們一起茁壯成長的夥伴。 How to apply Please apply this position through 👉https://grnh.se/a2f2c2e84usIt will help us process your applications faster! Responsibilities在這個實習中你將與我們的產品負責人、產品設計師與工程師搭檔,不斷優化我們的Web3合規監控產品,為全球的監管單位與機構提供更好的支持。與其他工程師、設計師、產品經理和高階領導層合作,將我們的產品和技術願景轉變為實際的開發路線,並編寫高品質的程式碼來滿足客戶的需求。
Taipei City, Taiwan
200 TWD / hour
No requirement for relevant working experience
No management responsibility