Cake Job Search

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. -

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. -

Minimum qualifications: Bachelor's degree or equivalent practical experience. 3 years of experience in product management or related technical roles. Preferred qualifications: Experience in GenAI and Python software development. Experience building and launching customer-facing Large Language Model (LLM) products, demonstrating an understanding of product lifecycle management. Experience in innovating and implementing large-scale product solutions to introduce workflow or cost efficiencies. Ability to build strong relationships with cross-functional partners including Vice President (VP)-level stakeholders. Ability to leverage customer/user support data to identify product opportunities and drive improvements in key metrics at scale. Excellent problem-solving skills to lead teams in generating actionable product insights from support data, identifying core issues, and prioritizing scalable solutions. About the jobAs a Product Manager, you will build and supercharge the essential toolkit for millions of creators worldwide, powering everything from their daily workflows in YouTube Studio to their community interactions and channel pages. Your mission is to not only perfect the products creators rely on today but to invent the future AI-powered tools that unlock new insights and creative possibilities. You are also building a future where help is intelligent, proactive, and seamlessly integrated into the creator's journey. From AI-powered help centers to ensuring creator account health, you are dedicated to providing assistance at every turn. You will guide creator success, collaborate on strategic projects across all of YouTube to ensure the next generation of creators has everything they need to build, and grow.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Responsibilities Redefine the speed of innovation by turning the vibe coding dream into a functional reality. Build an AI-native prototyping engine that doesn't just generate static mockups, but creates fully functional, data-ready prototypes in a single day. Architect a system where GenAI can securely access real creator data and inherit YouTube’s visual language by default, you will enable teams to bypass months of backend development. Move beyond simulated demos to putting real, working tools into the hands of creators for immediate, high-fidelity testing, ensuring we build only what guide value. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience in product management. Preferred qualifications: Experience working within large-scale platforms (e.g. YouTube) requiring navigating complex dependencies. Understanding of Generative AI and translating that outlook into a roadmap that technical teams can execute. Expertise in growth loops, virality, and funnel optimization. Track record of scaling consumer mobile products at an exponential rate while operating with a founder's mindset. Ability to synthesize complex user behaviors and technical capabilities into a compelling narrative that motivates the team and secures internal buy-in. Ability to be comfortable in high-ambiguity environments and influence without authority. About the jobAt Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Responsibilities Own the growth strategy for YouTube Create, leveraging Generative AI as your primary lever to drive massive user acquisition. Define and execute the roadmap that takes YouTube Create from its current foundation to 100 times its current scale. Identify and build AI features that solve the blank canvas problem, making onboarding so seamless and powerful that it triggers immediate viral loops. Move fast, break bottlenecks, and be exceptionally scrappy. Navigate the complexity of a global platform while maintaining the urgency of a founder. Work at the intersection of YouTube main app and Create to build deep, native network effects that make Create the default starting point for every video on the planet. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google welcomes people with disabilities.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Taipei, Taiwan; Hong Kong.Minimum qualifications: Bachelor’s degree in a Science, Technology, Engineering, and Mathematics or a related field, or equivalent practical experience. 6 years of experience in providing production-grade AI solutions to external or internal customers with L400-level in Python, and architecting AI systems on cloud platforms. Experience in developing Generative AI (GenAI) solutions with foundation models, first-party model tuning, and advanced Retrieval-augmented generation (RAG) architectures. Preferred qualifications: Master’s degree or PhD in Artificial Intelligence, Computer Science, or a related technical field. Experience in implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google’s Agent Development Kit (ADK)) and patterns like ReAct, self-reflection, and hierarchical delegation. Knowledge of Large Language Model (LLM)-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. Ability to implement agentic workflows incorporating MCP, tool-calling, and OAuth-based authentication. Ability to build full-stack applications that interact with enterprise IT infrastructures, and perform interviews to find the business problem and translate hardware/AI constraints for technical teams. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. In this role, you will be an embedded builder who bridges the gap between frontier Artificial Intelligence (AI) products and production-grade reality within customers. You will manage blocker to production including solving the integration complexities, data readiness issues, and state-management tests that prevent AI from reaching enterprise-grade maturity. You will be providing deployment of AI systems and act as a feedback loop, transforming field insights into Google Cloud’s future product roadmap.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Serve as the lead developer for AI applications, transitioning from prototypes to production-grade agentic workflows (e.g., multi-agent systems, Master Control Program (MCP) servers) that drive Return on Investment (ROI). Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including Application Programming Interfaces (APIs), legacy data silos, and security perimeters. Build evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency. Identify repeatable field patterns and technical friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams. Co-build with customer engineering teams to instill Google-grade development best practices, ensuring project success and end-user adoption. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India.Minimum qualifications: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. 3 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP). 3 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python). Experience troubleshooting technical issues for internal/external partners or customers. Preferred qualifications: Bachelor's Degree in Computer Science or a related technical field. Experience working with Generative AI (GenAI) models and related technologies. Experience with data analysis and problem-solving. Familiarity with cloud platforms and infrastructure (e.g., Google Cloud Platform). Excellent communication, presentation, and people management skills. About the jobIn gTech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's product ecosystem. Additionally we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration, and more). Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.To learn more about gTech, check out our video.Responsibilities Support developers, creators and enterprises to leverage Gemini APIs to innovate and build AI experiences for their products/users. Partner directly with product management to influence and shape up product roadmap and future direction. Be a product expert to guide AI startups, co-create roadmaps and help them launch using Gemini models. Write case-studies about their implementations. Troubleshoot issues with the models, APIs, AI Studio and help partners resolve them. Stay up-to-date on the latest developments in GenAI world. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Mumbai, Maharashtra, India; Gurugram, Haryana, India.Minimum qualifications: Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 7 years of experience in cloud computing or a technical customer-facing role, with experience using Python. 2 years of experience managing a software engineering team, Field Solutions Architect team, or a similar technical customer-facing team in a cloud computing environment. Experience developing AI or Generative AI solutions utilizing AI Tools and designing multi-agent workflows and Retrieval-augmented generation (RAG) systems. Preferred qualifications: Master's degree or PhD in Computer Science, AI, Machine Learning, or a related technical field. Experience in designing interfaces for AI and agentic systems. Experience in architecting AI solutions within infrastructures, ensuring data sovereignty and secure governance. Ability to design observable multi-agent systems using design patterns (ReAct, self-reflection,etc), state management, and tool-calling protocols. Ability to perform ‘discovery' interviews to find the business problem and translate hardware/AI constraints for C-suites and technical teams. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As the Manager of the AI Forward Deployed Engineering (FDE) team, you will lead a squad of AI/ML engineers across India who bridge the gap between frontier AI products and production-grade reality within customers. You are responsible for a team that doesn't just consult, but codes, debug and jointly deploys bespoke agentic solutions directly within customer environments.In this role, you will provide deep-dive technical mentorship to your team while balancing high-level strategic alignment with product, engineering, and Google Cloud Regional Sales leadership. Your mission is to empower and unblock your team as they resolve production-level obstacles, including data readiness issues, integration complexities, and state-management challenges that hinder AI from achieving enterprise-grade maturity.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Serve as the technical lead, establishing code standards, architectural standard procedures, and benchmarks to elevate engineering excellence across the team. Partner with Sales and Tech Leadership to define requirements for opportunities, deploying experts (MLOps, GenMedia, or Agentic systems) to key accounts. Lead technical hiring for the Field Solutions Architect team, evaluating AI/ML expertise, systems engineering, and coding skills to build the engineering squad. Identify skill gaps in emerging tech (tool-calling, and foundation models), ensuring the team maintains subject-matter-expertise in an evolving AI stack. Collaborate with Product and Engineering to resolve blockers and translate field insights into road maps while building internal tools to drive organizational efficiency. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

公司介紹 我們的客戶為台灣具指標性的大型金融機構，長期被市場視為金融科技與 AI 落地的領先者。近年在 Generative AI 領域投入大量資源，不僅推動多項 GenAI 旗艦方案，更成功將 AI 技術導入實際營運流程，建立可複製、可擴展的企業級應用模式。 本職缺隸屬於核心的轉型單位（約百人規模），高階長官具備資工博士級背景，組織定位關鍵、決策鏈短，並直接影響 AI 產品是否能安全、穩定地交付給最終客戶。 職務說明 我們正在尋找一位 AI 模型主管，從零建立企業級 AI 品質與評測體系。 你將擔任 AI 產品上線前的 「守門員（Gatekeeper）」，全權負責 LLM、RAG 與 ML 系統的評測標準、發布流程與風險控管，平衡模型效能、安全性與合規性，對產品能否正式上線具有關鍵影響力。 工作內容 一、AI 評測策略與框架建立 從零打造企業級 AI 評測架構，定義 LLM / RAG / ML 系統的核心評估指標 評測面向涵蓋：準確率、相關性、真實性（Faithfulness）、一致性（Consistency） 將 Responsible AI 原則納入驗收標準（公平性、偏見、可解釋性） 推動評測流程自動化，並與 MLOps / CI-CD 深度整合 二、基準測試與資料治理 規劃並管理 Golden Dataset，涵蓋關鍵業務流程、Edge Cases 與對抗性樣本 追蹤並評估主流評測工具與方法（如 RAGAS、DeepEval、Arize Phoenix） 建立模型版本間可比較、可追蹤的 Benchmark 體系 三、AI 安全與紅隊演練 建立 AI 安全防護與風險驗證機制 主導 LLM 紅隊演練（Red Teaming） 制定並驗證 Prompt Injection、Jailbreaking、PII 洩露等風險的防禦與壓力測試標準 四、跨部門協作與團隊領導 與演算法、後端工程、產品團隊密切合作，建立錯誤分析回饋迴圈 針對生產環境 Bad Cases 進行 RCA，提出 Fine-tuning / Prompt Engineering 優化建議 負責團隊培育、流程標準化與評測文件制度建立

【公司介紹】 這是一家全球型科技服務公司，長期協助大型企業推動數位轉型與智慧化升級，在金融、醫療、製造與零售等產業皆有長期合作客戶。團隊遍佈全球多個科技據點，並與國際級企業合作開發下一代 AI 與資料應用解決方案。 目前台灣團隊正參與多項 AI 應用與智慧化平台專案，包含企業 AI 助手、智慧客服、AI Agent 與生成式 AI 應用。工程師能直接參與 AI 系統從設計、開發到部署的完整流程，並與海外技術團隊合作，接觸大型企業級 AI 專案與跨國技術交流。 如果你希望將 AI 技術真正落地到企業應用場景，並在全球化環境中持續提升技術深度與實務經驗，這將是一個能快速累積 AI 專案經驗的機會。 【工作內容】 參與 AI 相關應用系統與工具的設計與開發開發與整合 AI 應用，例如 AI Chatbot、AI Agents 等參與 AI 模型開發、部署與應用整合與跨國團隊合作，協助企業導入 AI 解決方案參與系統規劃、技術架構討論與產品優化 【使用技術】 PythonJavaScriptC# / C++Machine Learning / Generative AIBig Data AnalysisAI Chatbot / AI AgentsWindows UWP / Win32 Service（加分）

《關於我們》 我們是一家專注於生成式 AI 客服解決方案的技術新創團隊，致力於協助電子商務、社群平台等企業，自動化處理客服訊息、提升用戶互動體驗。我們自主開發的 AI Agent 產品已被導入多語系、跨平台應用，並與全球多家知名 SaaS 服務建立技術合作夥伴關係。 我們的總部位於台北市中心，具備成熟彈性工作制度，產品線發展穩健，正擴大工程研發團隊規模！ 《工作內容》 負責 AI Agent 核心功能開發、效能優化與架構設計 串接內外部 API 並進行系統整合 解決 LLM 呼叫與 Prompt Debug 過程中的技術挑戰 參與產品測試、自動化評估與性能監控流程 與產品團隊協作，打造穩定可擴展的 AI 產品 《技術環境》 開發語言：Python AI技術：OpenAI API、LLM Tool Call、RAG、向量資料庫 架構相關：Docker、Git Flow、PostgreSQL、SQLite 產品工具整合：Zendesk、內建客服平台 加分項目：有 AI Chatbot 開發經驗或 AWS Lambda 架構應用經驗者佳