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 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.

The Impact You’ll Make at Appier 

We’re looking for a Staff/Senior Machine Learning Platform Engineer to join our Machine Learning Platform Team, which powers end-to-end infrastructure for model training, evaluation, deployment, and monitoring at scale. Our platform supports daily execution of hundreds of ML models and processes billions of data records across batch and streaming pipelines.
In this role, you’ll shape the architecture and core components of our ML platform—covering batch (Spark), streaming (Flink), job orchestration (Argo on Kubernetes), and infrastructure tools—while ensuring the platform remains robust, scalable, and developer-friendly. You’ll also champion best practices and modern development tools including LLM-based programming assistants.

What You’ll Work On

• Architect, implement, and scale batch (Spark) and streaming (Flink) pipelines that process billions of records daily for ML training and evaluation.
• 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).
• Design and monitor data infrastructure using ClickHouse and PostgreSQL.
• Ensure high availability and observability through monitoring tools like Prometheus and Grafana.
• Collaborate with data scientists, product managers, and engineers to deliver reliable and efficient ML platform capabilities.
• Actively adopt and promote the use of LLM-based tools (e.g., GitHub Copilot, ChatGPT) to accelerate development, documentation, and debugging.
• Mentor junior engineers and help evolve team engineering culture and standards.

What We’re Looking For

• Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s preferred.
• 4+ years of hands-on experience in data systems, machine learning infrastructure, or platform engineering.
• Strong coding proficiency in Python and/or Java, with experience building large-scale production systems.
• Practical experience with Spark, Flink, Kubernetes (GKE), and infrastructure-as-code tools such as Terraform and Helm.
• Experience managing high-throughput data infrastructure using ClickHouse, PostgreSQL, or similar systems.
• Deep understanding of ML pipelines and distributed job execution in production environments.
• Proven ability to apply LLM-based tools (claude code, codex) to boost engineering productivity.
• Strong ownership, architectural thinking, and ability to lead cross-functional platform projects.

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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

Appier is seeking Software Engineers, QA Automation to ensure continuous delivery of high-quality system. You will work with engineers to design testing plans for various types of systems - large traffic distributed system, machine learning algorithm, big data platform, frontend system, etc. He/ She will master the skills in defining suitable test strategies and test automation for different types of systems.

[The seniority/title is determined by job-related skills, experience, and evaluation after the interview.] 

About you

- 3+ years of experience in QA Engineering with a focus on automation and test strategy.
- Proficiency in scripting languages (e.g., JavaScript, Java, or similar) for writing automated tests.
- Hands-on experience with test automation frameworks (Playwright is a strong plus).
- Strong experience with API testing tools (Postman, RestAssured, or equivalents).
- Exposure to backend service testing (a plus).
- Experience in cross-browser and cross-platform compatibility testing.
- Mobile testing experience on both iOS and Android.
- Familiarity with performance testing concepts and tools (nice to have).
- Deep understanding of SDLC, Agile methodologies, and QA’s role in shaping product quality early in the cycle.
- Strong knowledge of test pyramid principles and best practices for balancing manual vs automated test coverage.
- Practical experience with Jira and TestRail (or similar test management tools).
- Excellent communication and collaboration skills, with the confidence to question and propose improvements.
- Analytical mindset with strong problem-solving abilities.
- Self-discipline and adaptability to succeed in a remote-first environment.
- Ability to decide regression test coverage independently.
- Strong ownership of manual test efforts, complemented with automation where it adds most value.
- A questioning mindset that ensures no assumption goes untested.
- Availability in a timezone similar to European time.


#LI-Fully Remote

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

Frontend engineers at Appier focus on handcrafting sophisticated web UI using cutting-edge front-end development technologies / tools. We work closely with UI/UX designers and backend engineers and deliver high-quality, fluent and elegant web applications to our enterprise customers, or to aid daily operations within Appier.

 [The seniority/title is determined by job-related skills, experience, and evaluation after the interview.]

Responsibilities

• Design & develop front-end architecture & interactive user interfaces
• Work closely with backend engineers to integrate services, and contribute to building lightweight RESTful APIs when necessary to support frontend functionality
• Ensures the flexibility of front-end architecture and the high performance of responsiveness
• Build reusable code and UI design systems for cross-product consistency and scalability
• Write unit, integration, and end-to-end tests to ensure code quality
• Perform code reviews to ensure existing code stay high-quality, fast, and flexible
• Handle and resolve issues escalated from the production operational environment
• Participate in idea brainstorming and contribute ideas to technology, algorithms and products

About you

[Minimum qualifications]

• 3+ years of experience in software development
• Good knowledge of HTTP, CSS, modern JavaScript (ES6+ / ECMAScript 2015+), TypeScript, HTML, DOM, and web standards
• Respect coding convention, language standard syntax, documentation
• In-depth knowledge of front-end frameworks and technologies (e.g., React.js, Vue.js) and their ecosystems.
• Proactive, good interpersonal and problem-solving skill
• Self-motivated, proactive, and a strong team player
• Solid understanding of version control (Git) and CI/CD workflows
• 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 CSS Pre/Post-processors (PostCSS, SASS or LESS) or modern CSS solutions (e.g., CSS Modules, Tailwind CSS, Styled Components).
• 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, React Testing Library, Vitest, or Playwright
• Experience building or integrating SDKs or capable of developing across multiple browsers, platforms
• Experience in web performance optimization
• Familiarity with micro-frontend architecture
• Experience with data visualization

#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

Frontend engineers at Appier focus on handcrafting sophisticated web UIs and ad content using cutting-edge front-end development technologies and tools. We collaborate closely with designers and backend engineers to deliver high-quality, smooth, and elegant web applications for the advertising domain as well as support daily operations within Appier.

 [The seniority/title is determined by job-related skills, experience, and evaluation after the interview.]

 Responsibilities

• Design and develop reusable advertising UI components (e.g., banners, video ads) and supporting systems using modern JavaScript frameworks and AI-powered tools.
• Build and maintain a modular JavaScript library or SDK to ensure scalable, consistent, and easily integrated ad rendering and tracking.
• Optimize ad content performance through efficient loading strategies and responsive design.
• Develop integrations with external SSP platforms, ensuring compliance with technical standards.
• Implement and manage analytics tools to monitor user interaction and ad effectiveness, delivering actionable insights.
• Participate in brainstorming sessions, contributing innovative technical solutions across UI/UX, algorithms, and product development.
• Utilize AI-powered development tools (e.g., GitHub Copilot, Tabnine, Cursor) to enhance coding efficiency and maintain code quality.

About you

[Minimum qualifications]

• Solid understanding of HTML, CSS, JavaScript, TypeScript, DOM, HTTP and web standards.
• Knowledge of modern front-end frameworks like React, Vue, Svelte.
• Experienced in integrating with REST APIs and GraphQL
• Experienced with bundler: Vite, Webpack, esbuild, and Rollup.
• Familiarity with Git for version control.
• Experience ensuring cross-browser compatibility.
• Practice coding conventions, syntax standards, and thorough documentation.
• Shows initiative and strong interpersonal skills in problem-solving.
• Ability to work effectively both independently and as part of a team.

[Preferred qualifications]

• Explores and shares insights on AI tools like GitHub Copilot, Tabnine, Cursor, and AI-driven testing to enhance front-end development and code quality.
• Experienced with meta frameworks like: Next.js, Nuxt.js, SvelteKit.
• Experienced with CSS-in-JS, PostCSS, SASS, and Tailwind CSS.
• Skilled in Jest, React Testing Library, Cypress, and Playwright for testing.
• Experienced in web performance optimization using Core Web Vitals, Lighthouse, WebPageTest, and Chrome DevTools.
• Experienced in debugging on any web environments like webview or browser.
• Experienced in server-side JavaScript runtime: Node.js, bun, deno.
• Experienced with relational databases or NoSQL databases.
• Familiar with CI/CD tools (GitHub Actions, Jenkins, Bitbucket) and Docker.

#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 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 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 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 (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

Software engineers (Ad Cloud Bidding) at Appier Tokyo office 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

[Language]

Fluent in English or Chinese.

Open to overseas candidates/Visa Support
This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan.

#LI-SW1 #LI-Hybrid

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.

Open to overseas candidates/Visa Support

This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan.

About the role

We are seeking a highly skilled and experienced Senior Software Engineer, General Backend Development. In this role, you will be responsible for developing and maintaining scalable, high-performance backend systems. A primary focus of this position will be diagnosing and resolving complex system performance bottlenecks and tackling intricate concurrency issues, such as race conditions. You will work closely with cross-functional teams to design and implement robust solutions that meet business requirements and ensure the long-term stability and success of our projects.

Responsibilities 

• Design, develop, and maintain robust and scalable backend systems using Java / Python / Go and related frameworks such as Spring, Undertow, Flask, FastAPI, etc.
• Collaborate with cross-functional teams, including frontend developers, product managers, and designers, to define system requirements and deliver high-quality solutions
• Perform code reviews to ensure adherence to coding standards and best practices
• Identify and troubleshoot issues, debug and optimize code for performance and efficiency.
• Participate in the entire software development lifecycle, from planning and design to implementation, testing, and deployment
• Stay updated with the latest industry trends and technologies, and continuously improve technical skills

About you 

[Minimum qualifications]

• Proven experience as a Backend Developer, with at least 8 years of professional experience.
• Strong understanding of programming languages and related web frameworks.
• Apply object-oriented principles and design patterns to ensure code reusability, readability, maintainability, and scalability.
• Experience with functional programming paradigms, such as immutability, higher-order functions, and lambda expressions.
• Embrace a testing mindset and aim for comprehensive test coverage whenever feasible. Possess familiarity with any unit test framework for effective testing.
• Solid understanding of web application development principles, RESTful APIs, and microservices architecture.
• Experience with databases (SQL and NoSQL) and ORM frameworks.
• Experience with OLAP database.
• Familiarity with version control systems (e.g., Git).
• Strong problem-solving skills and ability to work independently as well as in a team environment.
• Excellent communication and collaboration skills.

[Preferred qualifications]

• BS/MS degree in Computer Science or related field.
• Technical leadership experience.
• Good at profiling and debugging tools.
• High performance network service on Linux.
• Experience in Java development
• Experience in developing data structures, algorithms on top of Big Data platforms
• Experience in building and managing robust data warehouses. e.g. Trino/Presto , Pinot or Databricks.
• Design and architect large scale distributed systems.
• Design and implement distributed algorithms and data structure.
• Familiarity with Agile development methodologies.
• Familiarity with solving system performance issues or improving system performance
• Familiarity with SRE / DevOps related domains

#LI-BD1　#LI-Hybrid

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.

Open to overseas candidates/Visa Support

This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan.

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 for OJM, Omni-channel Journey Map (https://www.appier.com/en/blog/customer-journey-map), and Aideal (https://www.appier.com/en/products/aideal). You will 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: Typescript
• 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.
• Business-level proficiency in Chinese is required.

[Preferred qualifications]

• BS/MS degree in Computer Science or related field.
• 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 Jenkins).
• Continuous integration / continuous deployment.
• Monitoring and alert system (Prometheus / Nagios).
• Functional programming.
• Data Intensive Application Design.
• Web Frontend and Javascript.

#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

Software engineers (Ad Cloud Bidding) at Appier Tokyo office 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

[Language]:
Proficiency in Chinese

Open to overseas candidates/Visa Support
This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan.

#LI-BD1 #LI-Hybrid

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

Software engineers (Ad Cloud Bidding) at Appier Tokyo office build a wide range of platforms and services that interconnect data and AI with our customers and users. As a Senior Software Engineer, you will contribute to building scalable backend systems while also participating in service operation activities, including deployment, monitoring, and incident response, to ensure reliable and high-performing distributed services.

Responsibilities

• Design, implement, and optimize backend services
• Participate in code reviews and contribute to system design discussions
• Collaborate with cross-functional teams to deliver robust and high-performance systems
• Troubleshoot production issues and contribute to root cause analysis
• Support system deployment, monitoring, and maintenance in production environments
• Participate in on-call rotations and lead incident response when required

About You

[Minimum qualifications]

• BS/MS degree in Computer Science or related fields
• 3+ years of experience in software development
• Experience in modern C++ programming (C++11 and later)
• Familiar with Unix/Linux environments
• Good interpersonal and problem-solving skills and strong sense of ownership

[Preferred qualifications]

• Good 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
• Experience in modern build systems
• Experience in operation automation tools

[Language]

Fluent in English or Chinese.

Open to overseas candidates/Visa Support
This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan.

#LI-SW1 #LI-Hybrid

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

We’re building agentic and recommendation products that power next-gen digital marketing. You will lead an engineering team at the intersection of ML systems, LLM/agent orchestration, and enterprise SaaS to deliver reliable, measurable outcomes for marketers—faster execution, smarter budget allocation, and differentiated brand performance.

Our goal is to build Marketing Agents (e.g., Audience Agent, Campaign Agent and Insight Agent) and Consumer-Facing Agents (e.g., Service Agent, Sales Agent), underpinned by a One Data Platform that enables trustworthy personalization and decisioning at scale.

What You'll build

Agentic Marketing Automation

• Natural language task assignment: users describe objectives and constraints in plain language; agents plan, execute, and report.
• Amplifying brand advantage: systems that help strong brands compound performance while giving others actionable levers to close gaps.
• One Data Platform integration: unify identity, events, product catalog, and campaign data to drive consistent decisions across products.

[Product Areas]

• Marketing Agents
  • Audience Agent: segmentation, targeting strategies, cohort insights, next-best audience.
  • Campaign Agent: multi-step campaign planning, creative/testing suggestions, launch & iteration, performance diagnosis.
• Consumer-Facing Agents
  • Service Agent: post-purchase journeys, retention, support deflection, cross-sell triggers.
  • Sales Agent: lead qualification, outreach recommendations, pipeline nudges (where applicable).
• Recommendation products: ranking, next-best-action, uplift modeling, personalized content/channel selection.

Responsibilities 

Engineering leadership

• Lead a team of engineers (and partner closely with ML scientists) to deliver enterprise-grade agent and recommendation capabilities.
• Translate product goals into technical strategy, milestones, and execution plans; drive delivery with high quality and predictable cadence. 
• Establish engineering excellence: code quality, testing, observability, incident response, and continuous improvement.
• Build an environment of humble, hungry, smart execution—measure outcomes, iterate quickly, reduce waste.

Agentic Systems & ML Product Delivery

• Design and ship agent frameworks: planning/execution loops, tool calling, memory, retrieval, safety guardrails, and evaluation.
• Define evaluation methodology for agents: offline benchmarks, online experiments, success metrics, and human-in-the-loop review flows.
• Assure solid integration with One Data Platform: data contracts, feature availability, privacy controls, and reliability SLAs.
• Partner with Product, Design, Data/ML, and GTM to ensure model behavior aligns with user needs and business goals.

Stakeholder & Culture

• Drive stakeholder alignment: connect engineering objectives to business outcomes (revenue, retention, customer value).
• Promote an autonomous culture: empower autonomous decision-making for both the team and the systems you build.
• Manage fast-paced experimentation while ensuring security, compliance, and enterprise readiness.

About you 

[Minimum qualifications]

• 8+ years professional experience as a Software Engineer; 4+ years in a management/leadership role.
• Strong communication in English (written and verbal).
• Degree in Computer Science / Informatics or equivalent practical experience.
• Proven track record delivering enterprise-grade products (reliability, security, observability, performance).
• Experience working with or managing engineers and ML scientists.
• Experience delivering solutions using Agile principles.

[Preferred qualifications]

• Experience building LLM/agentic systems in production (tool use, RAG, orchestration, evaluation).
• Hands-on background with ML systems (recommendation, ranking, attribution, uplift, LTV, forecasting) and their productionization.
• Familiarity with data platforms (event pipelines, identity resolution, feature stores, lakehouse/warehouse) and data governance.
• Experience with A/B testing and causal measurement; comfortable making tradeoffs using metrics.
• Exposure to MA/CRM domains: segmentation, journeys, omnichannel messaging, campaign ops, budget pacing.
• Experience in leading hybrid (onsite/remote) engineering team.

About Us (Appier Engineering)
At Appier Engineering, we aim to be humble, hungry and smart. We improve through constant measurement and feedback—building less and talking more to ensure outcomes users love while reducing waste. We innovate by failing well, adapt quickly, and stay efficient and responsive when needed. We’re looking for an Engineering Manager who embodies these values through work and life experiences.

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, 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

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’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 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
• 3+ 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]

• 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 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

As a Senior DevOps Engineer, you will be part of our product teams. Our product teams focus on building large-scale distributed systems, aiming to provide high-quality services. You will focus on the design and implementation of tools for product development, the technologies of service operation, and deployment onto instances with high scalability requirements. Seniority and title are determined by job-related skills, experience, and evaluation following the interview. We welcome international candidates to our teams. This position is ideally to be based in Taiwan.

Responsibilities

• Collaborate with product teams to ensure high availability, reliability, and stability of the microservices architecture
• Design and maintain observability infrastructure (logging, monitoring, alerting)
• Build and optimize CI/CD pipelines and deployment automation
• Develop infrastructure-as-code solutions for scalable service deployment
• Lead incident response, troubleshooting, and post-mortem analysis
• Drive capacity planning and infrastructure scaling strategies
• Maintain comprehensive documentation, including runbooks and operational procedures
• Participate in on-call rotation to support production systems

About you

[Minimum qualifications]

• Bachelor's degree in Computer Science, Computer Engineering, or related fields
• 5+ years of experience in DevOps, SRE, or infrastructure engineering roles 
• Strong Linux system administration skills
• Proficiency in Bash and at least one programming language (Python, Go)
• Proven experience deploying and operating production services
• Experience with version control systems (Git)
• Understanding of cloud computing concepts and architectures
• Hands-on experience with infrastructure automation and configuration management

[Preferred qualifications]

• Experience with container orchestration (Kubernetes, Docker) and configuration management tools (Ansible, Terraform, Puppet, Chef)
• Hands-on experience with CI/CD platforms (Jenkins, GitLab CI, GitHub Actions, ArgoCD)
• Production experience with major cloud providers (AWS, GCP, Azure)
• Database administration experience (PostgreSQL, MySQL, MongoDB, Cassandra)
• Experience operating large-scale web services and distributed systems
• Knowledge of security best practices (firewall configuration, IAM, network security)

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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 Data Analyst / Senior Data Analyst in Taiwan to join our Enterprise Solution team.

In this role, you will serve as the strategic bridge between our product applications, client data, and evolving business requirements. You are the vital link connecting our Product, Customer Success, and Sales teams. Your primary objective is to architect business solutions and successfully implement them using existing products, while simultaneously translating client feedback into actionable requirements for the Product team to drive continuous innovation.

To excel in this role, you must develop an in-depth understanding of our products from technical development and service operations to sales strategy. You should possess exceptional communication skills to navigate complex client relationships and internal cross-functional collaborations.

  [The seniority/title is determined by job-related skills, experience, and evaluation after the interview.]

Responsibilities

• Requirement Advocacy: Gather and communicate new requirements and feedback from customers to the Product team to support continuous feature improvement and product-market fit.
• Cross-Functional Collaboration: Partner with Product Managers (PM), Customer Success Managers (CSM), and Engineers to identify business pain points and provide actionable analytical suggestions.
• Data Modeling & Analysis: Utilize SQL and Python to extract data from massive databases, conduct Exploratory Data Analysis (EDA), and build models to analyze business needs and predict user behavior.
• Visualization & Reporting: Design and develop automated dashboards (e.g., Tableau or Looker) to provide intuitive, real-time monitoring and insightful data reports.
• A/B Testing: Design, execute, and analyze experiments to scientifically evaluate the effectiveness of marketing strategies and campaign performance.
• Data Governance: Maintain data accuracy and integrity, ensuring that metrics produced by data pipelines align strictly with business logic and customer requirements.

About you

[Minimum qualifications]

• Education: Degree in Statistics, Mathematics, Computer Science, Information Management or a related quantitative field.
• Experience: 2+ years of industry experience in data analytics or a related field.
• Technical Skills:
  • Proficient in SQL, Python 
  • Practical experience in developing dashboards using Tableau, Looker, or similar tools.
• Core Competencies:
  • Solid foundation in statistics and strong logical reasoning for problem-solving.
  • Ability to extract meaningful insights from data and translate technical findings into business language for non-technical stakeholders.
  • Excellent oral and written communication skills in English and Mandarin.
  • High level of self-discipline and adaptability within a fast-paced, high-growth environment.

[Preferred qualifications]

• Experience in the Digital Marketing (MarTech) industry.
• Familiarity with Google BigQuery, Mongo DB
• Foundational knowledge or hands-on experience in Machine Learning (ML).
• Experience in Agent development or AI-driven workflows.
• Prior experience working in an English-speaking professional environment with cross-border teams.

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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

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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)

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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 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!

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