Job Description 協助財務部門處裡財會業務(e.g傳票整理 / 發票整理&抽核 / 應收付帳款沖銷等 / 付款發票金額核對) 處理其他主管交辦事項 一週需可排班至少20小時 會計/商科等相關科系背景尤佳, 需要細心、負責、主動學習 可長期配合八個月以上尤佳 歡迎一般求職者，日/夜間在學生 Qualification 熟悉Excel (Windows Office) 中、英文閱讀能力佳 有耐心，可接受大量文字閱讀 上班時段可彈性協調
About Appier Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com. Job Description 統籌海內外辦公室租約及辦公室保險維護管理 審核每月租金發票與請款 提供海外員工辦公需求支援 員工差旅安排及請款 廠商關係維護 支援其他行政工作事項 Qualification 具備 2~3 年以上相關行政經驗，具備跨國行政支援經驗者佳 中英文溝通能力，能處理海內外窗口對接 精通 Google Workspace (Docs, Sheets, Slides, Calendar) 等協作工具 具備 AI 工具 (如 ChatGPT, Gemini) 應用經驗 #LI-AK1
【About Appier】 Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com. 【About the role】 As a Technical Solutions Engineer Intern, you will follow established guidelines and SOPs to help customers integrate and optimize our products, troubleshoot and explore technical issues, and provide expert guidance. Your main responsibility is to execute each task with precision and consistent service. - Efficiently follow established guidelines and SOPs to assist new clients with a smooth onboarding and go-live process. - Maintain a high degree of precision when documenting, communicating, and processing the work and issues to ensure every detail is accurately captured. - Create and update technical documentation, knowledge base articles, and FAQs to help both customers and internal teams. - Effectively communicate technical concepts and problems to both technical and non-technical teams. - Assisting in the evaluation and integration of generative AI tools and platforms into existing workflow. 【About you】 - Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field. - Excellent written, verbal communication skills, with the ability to collaborate effectively with teams. - A passion for technology and a desire to learn. - Able to utilize generative AI tools effectively. - Japanese proficiency preferred. 【Nice to have】 - Familiarity with the components and structures of a URL. - Understanding of networking, databases, and APIs. - Familiarity with Python, JavaScript, HTML, SQL.This role offers a unique opportunity to gain hands-on experience and contribute to the development of innovative solutions in a dynamic environment. **We are currently looking for individuals who can commit to an internship schedule of 3 days (24 hours) per week. This internship opportunity entails a minimum duration of 6 months, beginning from the present date. We advise prospective applicants to carefully assess their availability for this commitment before submitting their applications.**
About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the Ad Cloud Bidding Team The Ad Cloud Bidding Team is at the forefront of Appier's AI-driven advertising solutions. We develop high-throughput and low-latency systems that deliver superior ROAS (Return On Ad Spend) and maximize campaign ROI for clients worldwide. Our services optimize budget allocation across premium, high-intent inventories, and process billions of requests per day with millisecond precision. You will use advanced C++ technologies to build robust and scalable infrastructure that is foundational to our AI decision-making engines in a fast-paced, data-intensive environment where performance is paramount. About the role Software engineers (Ad Cloud Bidding) at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users. As a Staff Software Engineer, you will play a critical role in designing and building scalable and performant backend architecture, owning and driving the technical roadmap for sizable projects or services. You will also take responsibility for service operations – ensuring reliability, availability, and efficient deployment of large-scale distributed systems. Responsibilities Engage in the design of large-scale backend systems and distributed services Contribute to technical roadmap and planning Collaborate with cross-functional teams to deliver robust and high-performance systems Troubleshoot production issues and contribute to root cause analysis Ensure high reliability through best practices in service operation, monitoring, and deployment Participate in on-call rotations and lead incident response when required About you [Minimum qualifications] 8+ years of experience in software development Proficient in modern C++ programming (C++11 and later) Familiar with Unix/Linux environments Solid understanding of system programming Experience in developing low-latency (millisecond-scale) and high-throughput (>1K QPS per machine) systems Experience in service optimization and performance tuning Strong sense of ownership and good problem-solving skills [Preferred qualifications] Experience in modern build systems Experience in operation automation tools Experience with monitoring, logging, and alerting frameworks #LI-AK1
About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. The Impact You’ll Make at Appier Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you’ll directly impact the efficiency and profitability of ads campaigns by improving models for bidding, pricing, and personalized content recommendation, while ensuring system robustness and scalability in a dynamic market environment. What You’ll Work On Design, implement, and productionize state-of-the-art ML models to improve campaign outcomes. Analyze large-scale user and auction data to discover predictive patterns and alpha signals that enhance bidding and personalization. Collaborate cross-functionally with engineering, product, and data teams to identify opportunities, define roadmaps, and deliver impactful solutions. Continuously improve system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning). What We’re Looking For Bachelor’s degree in Computer Science, Mathematics, EE, or related field; Master’s or PhD preferred. 4+ years of industry experience in ad tech, with a focus on performance optimization. Proven experience in applied machine learning, especially in CTR prediction, recommendation systems. Proficiency in Python and experience with modern ML frameworks (PyTorch, TensorFlow, etc.). Strong ownership and collaboration skills—able to lead end-to-end projects across product, data, and engineering. Bonus: Experience working on high-throughput, low-latency real-time systems (e.g., RTB engines, stream inference). #LI-AK1
About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role Appier is seeking Software Engineers, Quality Assurance to ensure continuous delivery of high-quality system. You will collaborate with engineers to design comprehensive testing plans for a variety of systems, including high-traffic distributed systems, machine learning algorithms, big data platforms, and frontend systems. You will excel in defining effective test strategies and developing automation solutions tailored to different system architectures. [The seniority/title is determined by job-related skills, experience, and evaluation after the interview.] Responsibilities Collaborate with product teams to review feature requirements and specifications, designing robust test plans, strategies, and executing tests with clear, actionable reports. Work closely with developers to enhance testability, develop testing utilities, and provide QA-driven test cases ahead of feature readiness. Ensure the highest quality and performance standards for Appier products through rigorous testing. Accurately report and validate product bugs, driving continuous improvement. Develop scalable and reliable automated tests and test frameworks for products built on micro-service architectures. Oversee and monitor the release process, executing necessary tests to ensure feature delivery meets quality benchmarks. About you [Minimum qualifications] Solid understanding of software development methodologies (Agile, Waterfall). Better in software testing processes, including test planning, test case development, and troubleshooting. Proficient communication skills and a collaborative mindset, with a willingness to share knowledge within the team. Minimum 2 years of hands-on experience with at least one test automation tool (e.g., Python, Java, Robot Framework, Pytest, Cypress, Selenium, JMeter or Locust). Experience with AI-assisted development tools such as GitHub Copilot, Cursor, and Windsurf to enhance coding efficiency, streamline debugging, and facilitate code refactoring. Familiarity with these tools is essential to our workflow. Experience integrating and utilizing CI/CD tools. Quick learner with good troubleshooting abilities and keep attention to detail. [Preferred qualifications] Experience in one of cloud service platforms. (e.g., AWS, GCP, Azure, Kubernetes) Excellent skills in data integrity tests or data quality. Experience in performance tests for SaaS products (e.g., Load test, Spike test, Stability test) Experience in system monitoring tools or system health dashboard (e.g., Grafana, Kibana, Prometheus) Experience in building automation testing for the architecture of micro-services Experience / Knowledge in the test for Big data, Machine Learning, Data analysis. Fluent English communication skills, both verbal and written.
About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role Appier’s solutions are powered by proprietary deep learning and machine learning technologies to empower every business to use AI to turn data into business insights and decisions. As a (Junior) Software Engineer, Data Backend, you will be involved in helping to build critical components of this platform. Responsibilities Design, develop, and maintain RESTful APIs using Python. Build and manage robust data warehouses utilizing ClickHouse, Trino/Presto and Pinot. Design and develop data pipelines using Apache Airflow and Apache Spark. Work closely with cross-functional teams to develop automation tools that streamline daily operations. Implement state-of-the-art monitoring and alerting systems to ensure optimal system performance and stability. Address queries from applications in a timely and effective manner, ensuring high client satisfaction. Work on cloud platforms such as AWS and GCP, leveraging their capabilities to optimize data operations. Utilize Kubernetes (k8s) for container orchestration to facilitate efficient deployment and scaling of applications. About you [Minimum qualifications] BS/MS degree in Computer Science 2+ years of experience in building and operating large-scale distributed systems or applications Experience in Kubernetes development, Linux/Unix Experience in managing data lake or data warehouse Expertise in developing data structures, algorithms on top of Big Data platforms Ability to operate effectively and independently in a dynamic, fluid environment Ability to work in a fast-moving team environment and juggle many tasks and projects Eagerness to change the world in a huge way by being a self-motivated learner and builder [Preferred qualifications] Experience working with ClickHouse is a big plus Contributing to open source projects is a huge plus (please include your github link) Experience working with Python, Scala/Java is a plus Experience with Hadoop, Hive, Flink, Presto/Trino and related big data systems is a plus Experience with Public Cloud like AWS or GCP is a plus #LI-AK1
About Appier Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Visit www.appier.com for more information. About the role Backend Development Intern at Appier works on a wide range of software projects that may extend solution innovation, impact product development processes or contribute directly to Appier’s product lines. We are currently looking for individuals who can commit to an internship schedule of 2-4 days (16-32 hours) per week. This internship opportunity entails a minimum duration of 6 months, beginning from the present date. We advise prospective applicants to carefully assess their availability for this commitment before submitting their applications. After the internship, there is an opportunity to transition from an intern to a full-time position. [ Due to the hybrid work model, this position cannot be fully remote and requires working in the Taiwan office. ] Responsibilities Developing and operate scalable, reliable and maintainable service-based software and related components. Improve the scalability and observability of the system. Proposing and prototyping solutions to ease software development, monitoring of software, etc. Profiling and performance tuning of critical components. Improving system quality with test automation and related toolings. Participate in idea brainstorming and contribute ideas to technology, algorithms and products. About you [Minimum qualifications] Currently pursuing a degree in Computer Science or a related technical field. Proficient in building web services on a Linux platform. Strong skills in at least one of the following programming languages: Python, Go or Java. Solid understanding of Network API Design principles (e.g., REST or GraphQL). Familiar with SQL and NoSQL databases (e.g., MySQL, MongoDB, Redis, etc.). Minimum familiarity with Git version control and the ability to perform basic Git operations. Experience with Linux-based development, including setting up application runtime environments and optimizing machine resource utilization. Basic proficiency in Python programming, and experience with simple coding tests and open-source contributions. A collaborative team player who is also capable of independent work. Proactive with strong interpersonal and problem-solving skills. [Preferred Qualifications] Bachelor’s degree in Computer Science or a related field. Proficient in performance profiling and debugging tools. Experience in developing high-performance network services on Linux. Ability to design and architect large-scale distributed systems, as well as knowledge of distributed algorithms and data structures. Familiarity with HTML and JavaScript. Experience with Nginx and HAProxy. Knowledge of Docker and Kubernetes, including experience using these tools. Familiarity with automation tools (such as Ansible) and CI/CD frameworks, with practical experience using tools like Jenkins, Drone, ArgoCD, etc. Understanding cloud infrastructure and services (AWS or GCP), as well as concepts related to cloud vs. on-premise solutions. Experience with cloud managed services (e.g., EC2, S3, Lambda, Load Balancer, ECS, API Gateway, etc.). Understanding the basics of distributed computing and parallel programming, with experience writing parallel programs using frameworks like Hadoop, Spark, Hive, CUDA, Flink, etc. Enthusiastic adopter of “vibe coding” culture—collaborative, transparent, and always pushing technical excellence together.
About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the Role We are seeking a Senior Software Engineer who will primarily lead the development and evolution of the Appier Web SDK, while also contributing to frontend web UI development for enterprise-facing web applications. This position combines deep JavaScript engineering with frontend application development. You will work on improving the reliability, performance, and extensibility of Appier Web SDK, while also contributing to frontend architecture for enterprise-facing SaaS applications. Your work will directly impact how Appier’s AI capabilities are delivered and experienced at scale. You will collaborate closely with backend engineers, product managers, data teams, and UI/UX designers to deliver robust technical solutions that power Appier’s AI-driven products. [The seniority/title is determined by job-related skills, experience, and evaluation after the interview.] Why This Role Is Exciting You will work on real-world browser challenges, performance optimization, and SDK architecture — not just UI feature implementation You will have meaningful ownership while collaborating with experienced cross-functional teams Your work will directly power AI-driven experiences embedded in enterprise websites at scale Responsibilities Lead the long-term evolution of Appier’s Web SDK architecture, strengthening its scalability, modularity, and maintainability to support future product growth Design and refine a robust, extensible SDK foundation that can support multiple products, integration scenarios, and enterprise-scale deployments Continuously improve runtime performance, bundle efficiency, browser compatibility, and overall stability in diverse client environments Contribute to frontend application architecture for enterprise-facing web products, ensuring performance, consistency, and maintainability across shared components Identify technical debt and architectural risks early, and proactively implement sustainable improvements rather than short-term fixes Safeguard quality through thoughtful testing strategies and thorough code reviews, helping maintain a strong engineering culture Support production stability by investigating and resolving client-side issues when needed Participate in product and technical roadmap discussions to ensure the SDK platform evolves in alignment with business and platform strategy About You [Minimum qualifications] 5+ years of experience in frontend or JavaScript engineering Strong proficiency in JavaScript (ES6+) and TypeScript Deep understanding of browser internals, DOM, HTTP, web standards, and client-side performance optimization Experience designing or maintaining JavaScript SDKs, libraries, or shared frontend modules In-depth knowledge of front-end frameworks and technologies (e.g., React.js, Vue.js) and their ecosystems. Solid knowledge of version control (Git) and CI/CD workflows Experience writing unit, integration, and end-to-end tests Strong problem-solving skills and ownership mindset Self-motivated, proactive, and able to collaborate effectively in cross-functional teams Experience leveraging AI-assisted development tools (e.g., GitHub Copilot, Cursor, Windsurf) to accelerate coding, debugging, and refactoring. Familiarity with these tools is expected as part of our team’s daily development workflow. Passion for clean code, scalability, and performance, curious about new technologies and enthusiastic about developer experience [Preferred qualifications] Familiarity with modern build tools and bundlers (e.g., Babel, Webpack, Vite, Rspack, esbuild, etc.) Experience in Node.js, Python, GraphQL, and integrating with various backend services and databases (e.g., MySQL, MongoDB) Experience with testing frameworks such as Jest, Vitest, Playwright, or similar Experience with cross-browser compatibility and performance tuning in complex browser environments Familiarity with web security practices (CSP, XSS mitigation, etc.) Experience with micro-frontend architecture #LI-CS1
About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the Role We are looking for a Senior Software Engineer, Machine Learning to join the Enterprise Solution Science Team. This team focuses on applying cutting-edge ML technologies to real-world marketing problems by combining them with omnichannel customer data. In this role, you will help bridge the gap between research and production by building and optimizing scalable, high-performance ML infrastructure — including data pipelines, dashboards, and monitoring systems. What You’ll Work On Design and operate robust ML job execution frameworks for training, inference, and post-processing. Build and maintain internal API servers and developer tools to orchestrate ML jobs on Kubernetes (via Argo Workflows, Helm, Terraform). Architect, implement, and scale batch (Spark) pipelines for ML training and evaluation. Design and monitor data infrastructure using PostgreSQL and other databases. Ensure high availability and observability through monitoring tools like Prometheus and Grafana. Create internal tools and services to simplify ML experimentation and production workflows. Collaborate closely with ML scientists to turn research outputs into user-facing product features Partner with engineers, PMs, and other cross-functional teams to deliver high-quality AI products What We’re Looking For (Minimum) Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred) 3+ years of practical experience in ML platform engineering, MLOps, or data infrastructure. Includes deploying enterprise-grade ML systems (e.g., model serving, pipeline automation), integrating data sources, and building dashboards. Proficiency in at least one programming language such as Python, Java, or Go, along with solid understanding of data structures and algorithms Experience in cross-functional collaboration and leading projects Impact-driven mindset, strong analytical and problem-solving skills, and a continuous passion for learning cutting-edge technologies. Proficient in using LLM-powered tools (e.g., Github Copilot, ChatGPT) to boost development productivity What We’re Looking For (Preferred) Industry experience in the MarTech domain, with a strong passion for building customer-centric products Strong ownership mindset and architectural thinking, with the ability to lead cross-functional platform initiatives Understanding of core ML and deep learning concepts Hands-on experience with end-to-end ML workflows and AI system architecture, and familiarity with platforms like Kubeflow, MLflow, or Apache Submarine. Familiarity with distributed computing frameworks (e.g., Apache Spark) Proficiency with cloud-native ecosystems (e.g., Kubernetes, Helm, Prometheus, Argo Workflows) #LI-AK1
About Appier Appier is a leading SaaS company empowering businesses with cutting-edge artificial intelligence (AI) to drive smarter decision-making. Founded in 2012 with a mission to democratize AI, we transform complex data into actionable insights, making AI accessible and profitable. With 17 offices across APAC, Europe, and the U.S., and listed on the Tokyo Stock Exchange (Ticker: 4180), Appier is at the forefront of AI innovation. Visit www.appier.com for more information. About the Role We’re on the lookout for an ambitious and technically outstanding Senior Software Engineer, Machine Learning to join our Enterprise Solution Engineering Team, AIXON. This elite team leverages state-of-the-art ML technologies to solve real-world marketing challenges by integrating omnichannel customer data at scale. In this role, you’ll be the vital bridge between cutting-edge research and production-grade deployment. You’ll design, build, and optimize scalable, high-performance ML infrastructure—including data pipelines, APIs, monitoring systems, and workflow orchestration—that power transformative AI solutions. What You’ll Do Architect and operate resilient ML job execution frameworks covering training, inference, and post-processing workflows. Develop and maintain API services and developer tooling to orchestrate ML workflows on Kubernetes using Argo Workflows, Helm, Terraform. Build scalable, efficient batch pipelines with Apache Spark to support large-scale ML training and evaluation. Design and maintain robust data infrastructures using Trino, Databricks and other modern database technologies, monitored with Prometheus and Grafana for high availability and observability. Develop tooling that streamlines ML experimentation, accelerates production workflows, and empowers cross-functional teams to innovate rapidly. Collaborate deeply with ML scientists to transform research prototypes into reliable, scalable, user-facing AI products. Lead cloud infrastructure design and operations on GCP, leveraging managed services such as Google Compute Engine (GCE) , Google Kubernetes Engine (GKE) , Cloud Storage, Cloud Functions, Cloud Pub/Sub, Cloud SQL, BigQuery, and more. Define and implement CI/CD pipelines with tools like Jenkins, Github Action, or ArgoCD to enable seamless, automated deployments. Harness distributed computing and parallel programming principles to optimize system resource utilization and performance. What You Bring Bachelor’s degree in Computer Science, Engineering, or a related technical field (Master’s degree preferred). 5+ years of hands-on experience in ML platform engineering, MLOps, or data infrastructure, deploying enterprise-grade machine learning systems at scale. Expert proficiency in Python, Java, or Go, with solid foundations in data structures and algorithm design. In-depth experience with cloud environments (AWS or GCP) and cloud-native service management. Proven mastery of Docker containers and Kubernetes cluster management, including resource provisioning, autoscaling, and deployment best practices. Strong understanding of the ML lifecycle—from training and prediction to evaluation, backtesting, and feedback loops. Familiarity with Git workflows and Linux-based development environments. Passionate about continual learning and innovation, leveraging AI-powered developer tools like GitHub Copilot and ChatGPT to boost productivity. What Will Set You Apart Experience in the MarTech industry or other customer-centric domains, eager to deliver products that delight users and drive business impact. Demonstrated architectural leadership and ownership, skillfully driving complex, cross-team platform initiatives. Strong grasp of deep learning fundamentals and end-to-end ML workflow platforms such as Kubeflow, MLflow, or AWS SageMaker. Hands-on experience with distributed data processing frameworks like Apache Spark, and pipeline orchestration tools such as Apache Airflow, Argo Workflow, or Luigi. Expertise in production-level ML applications, including handling data imbalance, preventing data leakage, and optimizing resource consumption for large-scale training and serving. Familiarity with real-time online inference architectures and batch processing trade-offs. Enthusiastic adopter of “vibe coding” culture—collaborative, transparent, and always pushing technical excellence together. Prior experience building or developing applications related to large language models (LLM), multi-agent LLM systems, or natural language processing (NLP). Why Join Appier? At Appier, you’ll stand at the frontier of AI innovation, working alongside world-class engineers and researchers to create products that transform entire industries. Here, your engineering expertise will directly impact millions of users and drive revolutionary advances in marketing technology. If you’re ready to tackle challenging ML infrastructure problems with passion and creativity, Appier is your ultimate playground! #LI-AK1
About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. Our EDP team builds core data backend capabilities that power critical product experiences across ingestion, profile processing, and serving. About the role We are hiring a Senior Software Engineer, Data Backend to design and operate production-grade data backend systems at scale. This role combines backend service engineering and data platform engineering, with strong focus on reliability, performance, and cost efficiency in a cloud-native environment. You will work on high-throughput APIs/services in Go, as well as data processing and workflow components in Python/Spark/SQL, partnering closely with product, platform, and data teams. What you will do Design, build, and maintain backend services and data platform components. Develop and optimize streaming and batch data workflows. Improve reliability and operability (monitoring, alerting, incident prevention/recovery). Improve data quality and consistency through schema/contracts and validation mechanisms. Diagnose and resolve production issues across service and data layers. Drive performance and cost optimization initiatives for large-scale workloads. Collaborate across teams to deliver roadmap milestones. Mentor engineers and contribute to engineering standards and review culture. About you [Minimum qualifications] 6+ years of software engineering experience in backend/data-intensive systems. Strong proficiency in Go (required). Strong proficiency in Python (required). Strong proficiency in SQL (required). Hands-on experience with distributed data systems (e.g., Kafka, Spark/Databricks). Experience operating services/pipelines in cloud production environments (GCP preferred). Solid understanding of reliability practices: observability, on-call, incident response. Strong communication and ownership; able to drive ambiguous projects to completion. [Preferred qualifications] Experience with Databricks/Delta Lake/Lakehouse architectures. Experience with Kubernetes/GKE and Terraform/IaC. Experience with data governance (lineage, access control, PII handling). Experience with identity/profile systems (entity resolution, merge logic). Experience with FinOps/cost optimization for platform workloads. Scala/Java experience for Spark ecosystem optimization is a plus. [Language] Fluent in English. Why join us Work on high-impact, business-critical data backend systems. Own real production outcomes across scale, quality, and cost. Collaborate with strong cross-functional teams in AI + data. Grow technical leadership while staying hands-on. Open to overseas candidates/Visa Support This position is open to based in Taipei, Taiwan or Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan. #LI-AK1
About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role We're looking for an experienced data engineer to build and scale our data infrastructure. You'll work on mission-critical systems that power our data-driven decision making, designing robust pipelines and optimizing distributed platforms that process massive datasets. Responsibilities Design, develop, and maintain production data pipelines processing hundreds of terabytes of data daily across distributed systems Build, manage, and optimize large-scale data platforms including Spark clusters, Kafka clusters, and related big data infrastructure Develop and operate data warehouse systems and ETL pipelines for data collection, processing, storage, and analytics Profile and tune performance of critical components to optimize throughput, reduce latency, and improve resource efficiency Establish architectural foundations and engineering best practices for the platform Design frameworks and tooling to streamline software development, deployment, monitoring, and observability Provide technical expertise and guidance on big data system design, performance optimization, and scalability challenges About you [Minimum qualifications] BS/MS degree in Computer Science or related technical field 2+ years of hands-on experience building and operating large-scale distributed systems Proficiency in Java and/or Scala for production-level development Proven experience building ETL pipelines and data processing workflows using Apache Spark Experience managing and optimizing data lakes or data warehouses at scale Ability to work independently and adapt quickly in fast-paced, dynamic environments Self-motivated learner who takes ownership, manages multiple priorities effectively, and thrives in collaborative team settings Experience deploying and managing infrastructure on public cloud platforms (AWS, GCP, or Azure) [Preferred qualifications] Proficiency in Python and/or Golang for building production systems Experience profiling and optimizing JVM performance for high-throughput applications Hands-on experience managing and operating data platforms such as Hadoop, Kafka, Flink, Hive, Trino, Presto, or ClickHouse Knowledge of modern open table formats including Apache Iceberg, Delta Lake, or Hudi Active contributions to open source projects (please include your GitHub profile if applicable) #LI-AK1
About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role Appier’s solutions are powered by proprietary deep learning and machine learning technologies to empower every business to use AI to turn data into business insights and decisions. As a Software Engineer, Data Backend, you will be involved in helping to build critical components of this platform. Responsibilities Design, develop, and maintain RESTful APIs using Python. Build and manage robust data warehouses utilizing ClickHouse, Trino/Presto and Pinot. Design and develop data pipelines using Apache Airflow and Apache Spark. Work closely with cross-functional teams to develop automation tools that streamline daily operations. Implement state-of-the-art monitoring and alerting systems to ensure optimal system performance and stability. Address queries from applications in a timely and effective manner, ensuring high client satisfaction. Work on cloud platforms such as AWS and GCP, leveraging their capabilities to optimize data operations. Utilize Kubernetes (k8s) for container orchestration to facilitate efficient deployment and scaling of applications. About you [Minimum qualifications] BS/MS degree in Computer Science 5+ years of experience in building and operating large-scale distributed systems or applications Experience in Kubernetes development, Linux/Unix Experience in managing data lake or data warehouse Expertise in developing data structures, algorithms on top of Big Data platforms Ability to operate effectively and independently in a dynamic, fluid environment Ability to work in a fast-moving team environment and juggle many tasks and projects Eagerness to change the world in a huge way by being a self-motivated learner and builder [Preferred qualifications] Experience working with ClickHouse is a big plus Contributing to open source projects is a huge plus (please include your github link) Experience working with Python, Scala/Java is a plus Experience with Hadoop, Hive, Flink, Presto/Trino and related big data systems is a plus Experience with Public Cloud like AWS or GCP is a plus #LI-AK1
About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the Ad Cloud Bidding Team The Ad Cloud Bidding Team is at the forefront of Appier's AI-driven advertising solutions. We develop high-throughput and low-latency systems that deliver superior ROAS (Return On Ad Spend) and maximize campaign ROI for clients worldwide. Our services optimize budget allocation across premium, high-intent inventories, and process billions of requests per day with millisecond precision. You will use advanced C++ technologies to build robust and scalable infrastructure that is foundational to our AI decision-making engines in a fast-paced, data-intensive environment where performance is paramount. About the role Software engineers (Ad Cloud Bidding) at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users. We are looking for a Senior Backend Engineer with a strong focus on service operations to maintain and optimize our large-scale distributed systems. You will ensure our backend services run reliably and efficiently through automation, monitoring, and incident management. Responsibilities Manage system deployment, configuration, and release pipelines Design and manage automated deployment pipelines to ensure smooth and reliable releases Implement monitoring, alerting, and disaster recovery strategies Troubleshoot production incidents and perform root cause analysis Participate in on-call rotations and lead incident response when required Continuously evaluate and adopt new tools or technologies to improve operational workflows About you [Minimum qualifications] BS/MS degree in Computer Science or related fields 3+ years of experience in backend engineering or site reliability engineering Familiar with Unix/Linux environments Scripting or programming skills in Python, Go, or Bash Experience in infrastructure-as-code tools A proactive mindset toward automation and continuous improvement and strong sense of ownership [Preferred qualifications] Experience with cloud infrastructure Familiarity with CI/CD pipelines and observability tools Knowledge of performance profiling and load testing tools Exposure to security hardening, access control, or compliance auditing #LI-AK1
About Appier Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com. About the Role We’re on the lookout for an ambitious and technically outstanding Senior Software Engineer, Backend Development to join our Enterprise Solution Engineering Team, Product Recommendation (ES REC). Software engineers at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users. In this role, you will be at the forefront of AI innovation, designing and building scalable backend architecture that delivers personalized experiences. What You’ll Do Key owner of sizable engineering projects and services within the ES REC team. Architect and implement AI Agents and agentic workflows to automate decision-making processes and enhance recommendation delivery. Build and optimize Machine Learning pipelines for large-scale personalization, ensuring efficient data processing, model serving, and low-latency response. Design and operate scalable, cloud-native architectures leveraging managed services (e.g., GKE, BigQuery, or Pub/Sub) to support high-throughput recommendation workflows. Architect and operate resilient ML job execution frameworks covering training, inference, and post-processing workflows to ensure system elasticity. Define and implement CI/CD pipelines with tools like Jenkins or ArgoCD to enable seamless, automated, and reliable deployments. Lead system designs and provide technical guidance to team members. Mentor engineers in cross-team development processes. Lead code reviews to ensure high quality coding standards. Facilitate agile process collaborating with cross-functional teams, including Data Scientists and Product Managers. Continuously improve the system's observability, incident management, DevOps and production operational SOPs. Profiling and performance tuning of critical components to ensure high performance and scalability. Participate in idea brainstorming and contribute ideas to technology, algorithms and products. About you [Minimum qualifications] 5+ years of experience in software development. Proficient in Python or Go. Ability to build web services on Linux and good knowledge of Network API Design (REST/GraphQL). Proactive, good interpersonal skills, and a strong interest in the MarTech (Marketing Technology) domain and customer-centric product development. Open-minded towards using AI tools (e.g., Copilot) to improve coding efficiency. Good understanding of SQL/NoSQL databases (MySQL, MongoDB, Redis, etc.). [Preferred qualifications] Hands-on experience with Infrastructure as Code (IaC) tools such as Terraform or Helm to manage cloud resources. AI Agent Development: Experience in building applications related to LLMs, multi-agent systems, or RAG architectures. Machine Learning Engineering: Understanding of the ML lifecycle—from training and prediction to evaluation and feedback loops. Familiarity with LLM orchestration frameworks (e.g., Google ADK, LangChain, AutoGen) and Vector Databases. Experience in designing and architecting large-scale distributed systems and data-intensive applications. Experience with monitoring and alert systems (e.g., Prometheus, Grafana) Why Join Appier? At Appier, you’ll stand at the frontier of AI innovation, working alongside world-class engineers and researchers to create products that transform entire industries. Here, your engineering expertise will directly impact millions of users and drive revolutionary advances in marketing technology. If you’re ready to tackle challenging ML infrastructure problems with passion and creativity, Appier is your ultimate playground! #LI-AK1
About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role Appier's Playable Ads team (https://www.appier.com/en/blog/what-is-playable-ads) builds AI-powered playable and video ad experiences that drive dramatically higher engagement and conversion for the world's leading apps and games. We're looking for a Senior Backend Developer with deep expertise in distributed systems and modern backend architecture to design and build the scalable, high-performance services behind these experiences — from creative generation pipelines to the infrastructure that brings our ML models to production. You'll work across microservices, messaging systems, data persistence layers, and system performance optimization, while partnering with ML scientists on MLOps workflows to continuously ship and serve new model versions to end users. You'll also collaborate closely with frontend engineers and product managers to deliver seamless, cross-functional outcomes. If you're passionate about building backend systems that operate at scale, thrive in cross-functional teams, and want your code to directly power AI-driven ad experiences reaching millions of users, we'd love to talk. What You'll Work On Architect and develop robust, scalable backend services and APIs using ASP.NET Core, owning sizable projects from system design through production operation. Design efficient database schemas and optimize data access logic across SQL and NoSQL data stores. Implement message-driven communication with high reliability and fault tolerance. Partner with ML scientists to build and maintain MLOps pipelines — including model versioning, deployment, serving, and monitoring — ensuring new models are reliably delivered to production. Lead system designs, drive technical roadmap decisions, and provide guidance to team members. Proactively identify performance bottlenecks, profile critical components, and implement scalable solutions. Own and continuously improve system observability, incident management, CI/CD pipelines, and deployment workflows. Explore and integrate AI-assisted development tools and emerging technologies to boost team productivity. Participate in on-call rotation to ensure product reliability and scalability. What We're Looking For [Minimum qualifications] Proficiency in C# and ASP.NET Core, or experience with other object-oriented languages (e.g., Java, Go) with willingness to cross-train in the .NET stack. Proven experience in distributed systems, microservice architectures, and designing scalable backend systems. Strong expertise in PostgreSQL, MongoDB, or equivalent SQL/NoSQL databases, with hands-on experience in ORM frameworks such as Entity Framework Core. Advanced knowledge of message broker systems such as RabbitMQ, Kafka, or NATS. In-depth understanding of IO-bound operations, threading, parallelism, and asynchronous programming. Practical experience with Docker, container-based deployment workflows, and cloud platforms (AWS, GCP, or Azure). Hands-on experience with CI/CD pipelines, observability tooling, and production operational practices. Demonstrated ability to write clean, well-documented code and solve complex problems analytically. Clear communicator who can explain technical decisions to both technical and non-technical stakeholders and enjoys working in a fast-paced, collaborative environment. Proficient in using LLM-powered development tools (e.g., GitHub Copilot, Cursor, ChatGPT) to accelerate productivity. [Preferred qualifications] BS/MS degree in Computer Science or a related field. Experience with MLOps practices such as model serving infrastructure, A/B testing frameworks, or ML pipeline orchestration tools. Leadership experience such as mentoring junior engineers, leading code reviews, or facilitating agile processes. Experience with performance profiling and debugging tools, high-performance network services, or FFI integrations for performance-critical components. Solution-oriented mindset with a focus on system sustainability, and willingness to explore emerging technologies into backend systems. [Language] Fluent in English, Japanese language proficiency is not required. Open to overseas candidates/Visa Support This position can be based in Tokyo, Japan or Taipei, Taiwan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth relocation transition to Japan. #LI-AK1
About Appier Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com. About Ad Cloud Serving Services Team At Appier's Ad Cloud Team Serving Services Team, we build and maintain the critical systems that power the core of Appier's advertising technology. These systems handle massive, high-concurrency, real-time requests, and ensure the stability, low latency, and high performance of our ad delivery. Our SRE professionals are crucial in guaranteeing these services remain reliable under extreme loads, continuously enhancing product availability and performance through innovation and automation. Responsibilities Lead the design and development of scalable, high-performance, and reliable backend services for real-time ad recommendation, data serving, and core ad tech infrastructure. Drive technical roadmap and ownership for sizable projects, ensuring the delivery of robust and efficient solutions within the Ad Cloud ecosystem. Optimize critical system components for latency, throughput, and resource utilization, including database interactions (e.g., MongoDB sharding, ClickHouse optimizations) and network architecture. Enhance system observability, incident management, and operational excellence by implementing comprehensive monitoring, alerting (e.g., Grafana, Prometheus), and refining production SOPs. Collaborate closely with product managers and scientists to translate business requirements into technical designs and ensure seamless integration. Champion code quality through rigorous code reviews and adherence to best practices in system design and implementation. Mentor and guide junior engineers, fostering their growth in backend development best practices, distributed systems, and agile methodologies. Actively participate in on-call rotation within the Backend team to maintain product reliability and scalability for critical serving services. Contribute to a culture of continuous improvement, initiating team-level technical discussions, process enhancements, and knowledge sharing. About You [Minimum Qualifications] 3-5+ years of hands-on experience in backend software development, particularly with high-performance, high-concurrency systems. Proficient in one or more of the following languages: Go, Python. Strong experience in system design and architecture for scalable and distributed systems, especially within a Linux environment. Good understanding of Network API Design (e.g., RESTful APIs, gRPC) and experience with message queues (e.g., Kafka, Pub/Sub) for data pipelines. Solid knowledge of SQL/NoSQL databases (e.g., MySQL, MongoDB, Redis, ClickHouse, PostgreSQL) and experience with database optimization and scaling strategies. Familiarity with DevOps practices, including CI/CD pipelines, Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure). Experience with observability tools (e.g., Prometheus, Grafana) and robust monitoring and alerting implementation. Proactive, excellent problem-solving skills, and strong communication in a cross-functional team setting. [Preferred Qualifications] BS/MS degree in Computer Science or a related field. Demonstrated ability to refactor complex systems, improve performance metrics (e.g., latency, error rate, CPU usage), and optimize resource utilization. Familiarity with A/B testing frameworks and supporting customizable configurations for model iteration. Hands-on experience with deploying and serving machine learning models in production environments. Exposure to ad-tech or recommendation systems is a plus. #LI-AK1
About Appier Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com. About the role Software engineers at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users. As a Senior Software Engineer, Backend Development at Ad Cloud Platform Team, you will design and build scalable and performant backend architecture, own and drive the technical roadmap for sizable projects or services, mentor junior engineers, and facilitate high performance agile teams collaborating with cross-functional teams. About you [Minimum Qualifications] 2~4 years of hands-on experience in backend software development, particularly with high-performance, high-concurrency systems. Proficient in one or more of the following languages, Python is preferred. Strong experience in system design and architecture for scalable and distributed systems, especially within a Linux environment. Good understanding of Network API Design (e.g., RESTful APIs, gRPC, GraphQL) and experience with message queues (e.g., Kafka, Pub/Sub) for data pipelines. Solid knowledge of SQL/NoSQL databases (e.g., MySQL, MongoDB, Redis, ClickHouse, PostgreSQL) and experience with database optimization and scaling strategies. Familiarity with DevOps practices, including CI/CD pipelines, Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure). Experience with observability tools (e.g., Prometheus, Grafana) and robust monitoring and alerting implementation. Highly proficient in AI-assisted development workflows, with hands-on experience leveraging tools such as Cursor, Claude Code, Gemini, or equivalent in day-to-day engineering. Solid understanding of agentic coding paradigms, including building or working within multi-step, tool-augmented AI development pipelines. Proactive, excellent problem-solving skills, and strong communication in a cross-functional team setting. [Preferred Qualifications] BS/MS degree in Computer Science or a related field. Demonstrated ability to develop complex business features with PM, QA, and front-end engineers. Experienced in promoting backend architecture upgrades or improving development processes. Exposure to context engineering or AI harness engineering, including designing prompt pipelines, managing LLM context windows, or building structured AI orchestration layers. Experienced in building SDKs and applications for iOS or Android. #LI-AK1
About Appier Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com. About the role Software engineers at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users. As a Senior Software Engineer, Backend Development, you will design and build scalable and performant backend architecture, own and drive the technical roadmap for sizable projects or services, mentor junior engineers, and facilitate high performance agile teams collaborating with cross-functional teams. Responsibilities Key owner of sizable engineering projects and services Lead system designs and provide technical guidance to team members. Mentor engineers in cross-team development processes. Lead code reviews to ensure high quality coding standards Facilitate agile process collaborating with cross-functional teams. Initiate and lead team-level technical, process and growth initiatives Continuously improve the system's observability, incident management, DevOps and production operational SOPs. Develop and operate scalable, reliable and maintainable service-based softwares and related components. Responsible for laying the foundation for the platform as well as proposing solutions to ease software development, monitoring of software, etc. Profiling and performance tuning of critical components Participate in idea brainstorming and contribute ideas to technology, algorithms and products Participate on-call rotation within Backend team to ensure product reliability and scalability About you [Minimum qualifications] 5+ years of experience in software development Leadership experiences such as mentoring junior engineers, facilitating an agile process. Ability to build web services on Linux. Proficient in one or more of the following languages: Python/Scala/Go/Java/C++ Good knowledge of Network API Design ( e.g. REST or GraphQL). Good understanding of any SQL/NoSQL database (MySQL / MongoDB / Redis / etc.) Familiar with git. Familiar with AWS, GCP or Azure. Proactive, good interpersonal and problem-solving skills. [Preferred qualifications] BS/MS degree in Computer Science or related field. Technical leadership experiences Good at profiling and debugging tools. High performance network service on Linux. Design and architect large scale distributed systems. Design and implement distributed algorithms and data structure. Expert in some of the following CS Domains: Nginx / HAProxy. Operation automation tool (such as Ansible). Continuous integration / continuous deployment Monitoring and alert system (Prometheus / Nagios). Functional programming. Data Intensive Application Design. Web Frontend and Javascript. #LI-AK1
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