Senior Software Engineer - GTPN Platform

Join Our Team at AirwallexAt Airwallex, we are redefining the financial landscape for global businesses through our integrated payment and financial solutions. With a unique blend of proprietary technology and infrastructure, we empower over 200,000 businesses—including industry leaders like Brex, Rippling, Navan, Qantas, and SHEIN—to seamlessly manage their accounts, payments, and treasury on a global scale.Founded in Melbourne, Airwallex boasts a dynamic team of over 2,000 innovative tech professionals across 26 offices worldwide. Valued at $8 billion and backed by prestigious investors such as T. Rowe Price, Visa, and Mastercard, we are at the forefront of developing the future of global payments. If you’re ready to embark on the most ambitious journey of your career, we invite you to join us.What We Are Looking ForWe value ambitious creators with a founder-like spirit who seek to make a real impact while accelerating their learning and taking ownership of their work. If you possess strong skills in software engineering, a sharp analytical mindset, and are driven by our mission and operating principles, we want you on our team. You thrive in a fast-paced environment, have a curious mindset, and make judicious decisions backed by thorough analysis.As a humble and collaborative individual, you have the ability to turn innovative ideas into tangible products and are proficient in using AI to enhance productivity. Here, you’ll face complex challenges alongside exceptional teammates while advancing your career in the evolving landscape of global banking. If this resonates with you, let’s create the future together.About the GTPN TeamThe Global Treasury and Payment Network (GTPN) team is central to Airwallex’s payment infrastructure. As our inaugural product and the largest revenue generator, GTPN plays a crucial role in enhancing customer experiences. Operating at the crossroads of traditional and modern finance, we are committed to expanding and fortifying our global treasury and payment network, while delivering innovative financial products on a solid financial foundation.We are a truly global and cross-functional engineering team, with talented engineers located in established and emerging tech hubs including the US, Singapore, Hong Kong, and Shanghai. As we scale our operations, we are on the lookout for passionate Senior Software Engineers to join our ranks. Collaborate with us to tackle exciting challenges and drive innovation in our industry.

Role overview Airwallex is seeking an Engineering Manager for the GTPN Platform in Seoul. This position leads a group of engineers dedicated to improving the platform’s features and reliability. The role involves close collaboration with teams throughout the company to achieve technical goals and support ongoing enhancements. What you will do Guide and mentor engineers working on the GTPN Platform Oversee projects that expand and strengthen the platform’s capabilities Collaborate with cross-functional teams to meet project objectives Promote a culture that prioritizes technical quality and creative problem-solving Location This role is based in Seoul, South Korea.

Role Overview Tosscareers is hiring an AIOps Platform Engineer in Seoul. This role focuses on building and improving AIOps platforms that support IT operations. The work centers on integrating AI with operations to improve performance and reliability. What You Will Do Work with teams from different disciplines to design and develop AIOps solutions Implement platforms that help automate and optimize IT operations Contribute technical expertise to projects that connect AI tools with operational workflows Support the stability and efficiency of IT systems through AI-driven approaches Location This position is based in Seoul.

Speechify helps over 50 million people turn reading materials, PDFs, books, Google Docs, news articles, and websites, into audio they can listen to anywhere. Our products span iOS, Android, Mac, Chrome Extension, and Web App. Google named us Chrome Extension of the Year, and Apple awarded us the 2025 Design Award for Inclusivity. Our team of nearly 200 works fully remotely, representing backgrounds from Amazon, Microsoft, Google, Stripe, Vercel, Stanford, and more. We value diverse experience and a collaborative approach. There is no central office; everyone contributes from wherever they are. Role overview The Platform Software Engineer will join the Platform team to build and maintain backend services. These systems support payments, analytics, subscriptions, product development, text-to-speech features, and external API integrations. The work directly shapes the reliability and reach of Speechify’s core products. This position calls for someone who thinks strategically and cares about delivering strong user experiences. The team operates with a flat structure, leadership comes from technical skill and consistent results, not job titles. What matters here Solid work ethic and follow-through Clear, effective communication Drive to compete and improve Interview process The process includes several technical interviews, typically completed within one week. Location This role is based in Seoul, South Korea.

Join our innovative team as a Frontend Platform Engineer, where you will play a pivotal role in developing and enhancing our cutting-edge frontend technologies. You'll collaborate closely with cross-functional teams to design, implement, and maintain high-quality user interfaces that elevate our platform's performance and user experience. If you're passionate about creating seamless web applications and have a knack for problem-solving, we want to hear from you!

Founded in 2006 by passionate gamers, Riot Games is committed to crafting player-centric games that resonate with audiences worldwide. Our flagship title, League of Legends, launched in 2009, has since become a global phenomenon, captivating over 100 million players each month. We continuously strive to enhance the League of Legends experience, placing players at the heart of our community. We are on the lookout for humble yet ambitious professionals, sharp-minded individuals who can share their insights while we reciprocate with our own. If you have a serious passion for gaming, thrive on innovation, and are unafraid to challenge the status quo, we want to hear from you! As the Manager of Software Engineering in the Publishing Engagement team within the Publishing Platform, you will lead engineers dedicated to designing, developing, and maintaining platform services that facilitate game content delivery and enrich player experiences across various games and platforms. Collaborating with game developers, central tech groups, and legal and business teams in Korea, you will ensure high-quality standards while optimizing operations for players both locally and globally. Your extensive knowledge of technical systems will guide the team in building, operating, and scaling our services. You will influence critical technical decisions, oversee documentation and process enhancements, and mentor engineers in delivering integrated, multi-platform gaming experiences. Your leadership will cultivate an environment of clarity, discipline, and agility, empowering the team to make a significant impact. You will report directly to the Senior Manager of Software Engineering, who supervises multiple teams under the Meta Game Services initiative.

Join Us to Create the Future of Communication!At ChannelTalk, we are dedicated to driving sustainable growth for businesses through our all-in-one AI messenger, which focuses on enhancing customer conversations to guide business directions effectively.Embracing the philosophy that 'the customer has the answers', we integrate CRM-based support experiences with AI automation to streamline customer service efficiency and improve customer experiences, all within a single product. Our rapid growth, achieving over 20% market share in Japan, sets a solid foundation for our ambitious expansion into the US market as a global SaaS leader.We collaborate with top talents to develop a 'future classic' product that could symbolize a new generation, much like Google Search and the iPhone.

Join our dynamic team at Daangn as a Frontend Software Engineer dedicated to building engaging community platforms. You will be responsible for developing user-friendly web applications that enhance user experiences and foster community interaction. Collaborate with cross-functional teams to design and implement innovative solutions that meet the needs of our users.

# Join Our Team- The AI Platform team is on a mission to create a platform that enables everyone to use AI technology quickly and reliably. We technically support the use of AI across Toss.- We are developing the necessary tools and platforms for new AI systems such as Retrieval-Augmented Generation, Agents, and Assistants to be rapidly experimented with and reliably operated.- The platform we create is not just a simple toolkit; it is designed with scalability in mind, allowing AI technology to be implemented by more teams effectively.- Addressing unresolved problems means that collaboratively defining and structuring technical directions is crucial.- **Want to learn more about Toss’s data organization?** [→ *Toss Data Division Wiki*](https://recruit-data-division.oopy.io/)# Responsibilities- Integrate LLM-based components such as Retrieval, Generation, and Vector Search into a platform that various teams can reuse.- Provide features that integrate both SaaS and self-hosted LLMs and ensure stable operations.- Design the foundation for creating and experimenting with Agent systems more easily, including prompts, tools, and context configurations.- After experiments, ensure stable operation in the service by systematizing and tooling the serving and operational flow of RAG and Agents.- Develop a foundation to quantitatively evaluate the performance and quality of Agents and provide it as a platform.- Design a common environment and experience to enable rapid experimentation and application of AI systems not only within the team but also across other teams.- Structure unformatted technical elements and create directions that can expand into broader problems.# We Are Looking For- Individuals with experience applying technologies such as LLM, RAG, and Agents to real-world problems.- Those who can technically define unstructured problems and systematically solve them.- Candidates who have collaborated with multiple teams to develop and operate technology as if it were a product.- Those who can quickly adapt to new technological trends and integrate them naturally within the team.- Individuals interested in simplifying complex AI systems into a consistent and straightforward user experience.# Preferred Qualifications- Experience designing RAG components such as Retrieval, Generation, and Vector Search independently and integrating them at the system level.- Experience selecting and operating various LLM serving structures (OpenAI API, HuggingFace, vLLM) tailored to service situations.- Experience structuring various purpose-driven Agents and applying them in service operations is highly welcomed.- Experience proactively designing experimental environments or tools based on the requirements of platform users (internal developers, model engineers, etc.).- Experience creating and operating common platforms or RAG-based systems that can be extended across multiple projects or domains is especially desirable.# Resume Tips- If your past projects had significant impacts on the organization, please detail them.- Rather than just listing languages, platforms, frameworks, or technologies used, provide context about the project's objectives, the methods you employed, and how you solved the problems.- Include experiences where you resolved critical issues during platform operations or optimized performance/resources.- If you have contributed to open source by fixing bugs or enhancing functionalities, please share those experiences.# The Journey to Join Toss- Application submission > Job interview > Cultural fit interview > Reference check > Compensation negotiation > Final acceptance- The job interview will feature in-depth technical interviews focused on ML system design.# A Message for Future Colleagues“We don’t just serve rapidly evolving AI models; we build systems that ensure these models operate stably and are continuously improved.”- The AI Platform team is responsible for the serving, experimenting, and operating infrastructure of various AI technologies such as LLM-based services, RAG systems, and search infrastructure to ensure smooth operation in production environments.- We efficiently manage GPU resources and clusters, utilizing vLLM, Triton, Model Registry, etc., to automate experiments and deployments.

Join our innovative team as a Frontend Platform Engineer at Toss, where we revolutionize the way people manage their finances through cutting-edge technology and seamless user experiences.

Welcome to the Journey of Joining the Daangn Team!At Daangn, we are committed to fostering an environment where individuals can grow alongside the company's success.Our recruitment team is here to assist you in achieving those joyful moments of collaboration with amazing colleagues. Introducing the ML Infrastructure TeamThe ML Infrastructure Team within our Infrastructure Department is responsible for developing a robust and scalable machine learning infrastructure that ensures effective service delivery and efficient operation of Daangn’s machine learning-based services. Machine learning is extensively utilized at Daangn to enhance service quality and improve user convenience across various domains, including feed recommendations, ad recommendations, and service operations. The ML Infrastructure Team handles everything from data processing, model training, model serving, to the deployment processes necessary for machine learning service development. Daangn's GenAI Platform Building Serverless ML Training Infrastructure: Vertex AI Pipelines & TFX ML Infrastructure with GCP | 2025 Daangn GCP MeetupYour ResponsibilitiesDevelop and manage model servers and serving systems for efficient deployment of various machine learning models.Develop and maintain ML infrastructure SDKs, frameworks, and training systems used across the organization.Create specialized monitoring systems for machine learning services to detect quality changes early.Implement various optimization methods across the machine learning infrastructure to enhance development iteration speed and resource efficiency.We Are Looking ForA proficient user of one or more programming languages such as Python or C++.Strong understanding of the infrastructure required for training and serving machine learning models.Over 7 years of experience in backend service or machine learning service development/operations.A desire to improve machine learning infrastructure through solid software engineering skills.Experience in developing and operating GPU clusters.Preferred QualificationsFamiliarity with cloud services like AWS and GCP, with practical experience.A deep understanding of the machine learning ecosystem and contributions to open source projects (e.g., TensorFlow, PyTorch, TensorFlow Extended).A keen interest in new technological trends and a willingness to learn.Additional InformationFor full-time hires, there is a 3-month probation period.We prioritize individuals with disabilities and veterans according to the Employment Promotion and Vocational Rehabilitation Act and the Act on the Honorable Treatment and Support of Veterans.Application Process1. Document Screening → 2. Video Interview → 3. Technical Interview → 4. Culture Fit Interview and Reference Check → 5. Compensation Negotiation → 6. Final Acceptance and OnboardingGo to Daangn Joining Journey Guide

About Speechify Speechify builds tools that help people overcome reading barriers and improve how they learn. More than 50 million users turn to our text-to-speech products to listen to content from PDFs, books, Google Docs, news articles, and websites. Our suite spans iOS, Android, Mac, Chrome Extension, and Web App. Google named us Chrome Extension of the Year, and Apple recognized us with the 2025 Design Award for Inclusivity. The team includes nearly 200 professionals working remotely from around the world. Our group brings together frontend and backend engineers, AI researchers, and experts from companies like Amazon, Microsoft, and Google, along with graduates from top schools such as Stanford. Speechify operates fully distributed, with no physical office. Role Overview: Senior Software Engineer – Windows/Desktop Applications This position focuses on building and maintaining native Windows desktop applications at Speechify. The role is based in Seoul, South Korea. What You Will Do Design, architect, and develop native Windows desktop apps using Windows App SDK, WinUI (or similar frameworks), C#, XAML, and occasionally C++. Establish and maintain standards for Windows desktop development, emphasizing code architecture, performance, memory management, responsive UI, cross-version compatibility (Windows 10/11+), and long-term maintainability. Drive accessibility by integrating and validating support for accessibility APIs such as Microsoft UI Automation. Ensure UI controls, focus management, keyboard navigation, and screen reader support meet the needs of users with disabilities. Work closely with product designers, UX researchers, QA, and other stakeholders to shape feature planning, UI/UX architecture, and the roadmap for the Windows platform. Manage the full feature lifecycle: from concept and design through implementation, testing, release, and ongoing maintenance, always focusing on quality and reliability. Troubleshoot and resolve complex bugs, performance bottlenecks, memory leaks, rendering issues, and compatibility challenges. Propose architectural or design solutions as needed.

Bjak operates the largest insurance portal in Southeast Asia, making financial services more affordable and accessible across the ASEAN region. With a base in Malaysia, the company helps millions of users compare and choose insurance products that offer strong value and coverage. Bjak invests in technology, including custom APIs, trading platforms, and data science, to simplify complex financial products as it expands operations in Malaysia and beyond. This Senior Software Engineer position focuses on both backend and frontend development, using JavaScript and TypeScript. The role is fully remote but based in Seoul, Korea. Work centers on building and maintaining Bjak’s platforms and supporting the company’s mission of simplifying financial services. Main responsibilities Develop and maintain backend systems using NodeJS, following best coding practices. Create frontend applications with ReactJS and NextJS frameworks. Monitor system stability and resolve critical issues quickly to minimize business disruption. Review and analyze existing code for optimization and improvement opportunities. Work with cross-functional teams to manage change requests efficiently. Mentor junior developers and share best practices in software development. Promote code quality and consistency through peer reviews. Requirements Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field. Strong understanding of algorithms and data structures. Minimum 3 years of experience in software engineering roles. Proficiency with backend tools: NodeJS, NestJS, ExpressJS, GraphQL, and Postman. Experience with frontend frameworks: ReactJS, NextJS, and Styled-components. Hands-on experience working with databases such as MongoDB and MySQL. Familiarity with automation tools like Selenium, Cypress, and Puppeteer. Strong problem-solving skills and enthusiasm for programming. Preferred qualifications Portfolio of relevant projects. Experience with cloud services (GCP or AWS) and Infrastructure as Code. Background in UI/UX design. Knowledge of Test-Driven Development (TDD) and Behavior-Driven Development (BDD). Familiarity with web template languages such as Pug or Slim. Experience writing technical documentation. Benefits Fully remote work: Work from any location. Innovative challenges: Tackle varied and complex business problems. Career growth: Structured development plans support learning and advancement. Global environment: Join an international team with a flat organizational structure. Competitive salary: Compensation exceeds industry standards.

Join Our Dynamic Team!The Data Engineer for Workflow Platform is an integral member of Toss Bank's Data Division, specifically within the Data Platform team.This team comprises three key areas: Data Infrastructure & Hadoop, Streaming Platform, and Workflow Platform.We operate various Data Platforms, including Hadoop, Kafka, CDC, and Airflow.Our mission is to ensure the reliability and scalability of the enterprise data infrastructure, ensuring all data is securely collected and processed.Your Responsibilities:Design and operate a large-scale data workflow execution platform in an on-premise Kubernetes environment.Optimize resources to ensure the stable execution of large workflows across various data organizations, enhancing platform performance and reliability.Collaborate with enterprise data engineers to improve the execution quality of the overall data pipeline and enhance developer experience.Monitor workflow execution status, design and improve systems for automated fault detection, alerts, and recovery procedures.Safely manage workflow executions in accordance with internal control standards of the financial sector, advancing a systematic history management system.Continuously review and implement new technologies and open-source solutions to enhance the performance and scalability of the workflow platform.We Are Looking For:Experience operating an Airflow-based workflow orchestration system with proven improvements in stability, scalability, and execution efficiency.Background in developing Python-based data workflows and platform services.Understanding of container technologies (Docker, Kubernetes, etc.) and experience in automating service deployment and configuration using tools like Helm.Ability to understand company environments and communicate effectively with various teams during service development.A keen interest in improving operational efficiency and optimization in large-scale workflow environments.Desire to enhance platform user experience to facilitate easier and safer pipeline development and operations for in-house data engineers.A proactive approach to analyzing, modifying, and improving open-source solutions at the code level to solve issues.Resume Submission Tips:Clearly outline impactful projects you have worked on in your career.Focus on experiences related to data platforms, particularly with Airflow, Kubernetes, and Python.

Join Us and Engage in Exciting Work! After completing a comprehensive onboarding process to familiarize yourself with the Toss data environment, you will be part of the Data Warehouse Team, undertaking the following responsibilities: Develop a data quality platform that enhances table consistency, advances DQ rules, and establishes health check metrics. We aim to create a reliability management platform allowing all data users to work without questioning, 'Can I trust this data?'.Enhance the GraphRAG pipeline. Build a knowledge graph construction pipeline that extracts entities by parsing ontology YAML, SQL, and code, followed by vector embedding for indexing in Elasticsearch, making Toss's data assets easily navigable for everyone.Design and operate MSA architectures. Split necessary services for the ontology platform into microservices, ensuring each is designed, implemented, and operated reliably.Develop AI agent infrastructure. Create a multi-agent workflow execution environment based on open-source agent frameworks like CrewAI. Establish an MCP Tool Registry and develop integration infrastructure with external MCP servers.Build an early warning platform. Create a monitoring system that detects anomalies in data lineage, code, and trends, automatically performing alerts and analyses to identify issues before they escalate.Develop a lineage tracking engine. Create a system that automatically analyzes the extent of impacts by parsing SQL to extract column-wise influence relationships, determining how far changes propagate.

Join our dynamic team as a Data Engineer specializing in log platforms. In this role, you will work with cutting-edge technologies to design, build, and maintain robust data pipelines. Your expertise will help us manage and analyze extensive log data, enabling improved decision-making and operational efficiency.

About the Team You'll Join The ML Engineer (Platform) at Toss Securities is part of the ML Platform Team within the Product Division. The mission of the ML Platform Team is to create an optimal machine learning platform that enables efficient and stable development and operation of various AI/ML services at Toss Securities. Your Responsibilities Upon Joining Develop and enhance the Gateway system, the gateway for ML services. Develop and operate a Gateway system based on FastAPI that handles enterprise-level LLM API requests. Design and implement authentication, routing, traffic control, fault isolation (Circuit Breaker, Fallback), large-scale TPS processing, and load balancing strategies from both application and infrastructure perspectives in the FastAPI-based Gateway application. Manage and serve ML services. Directly operate a machine learning model serving system in a Kubernetes environment. Design and improve the LLM serving architecture to operate stably under large traffic conditions. Monitor latency, error rates, resource usage, and analyze and resolve operational issues for the models in service. Identify root causes of failures and implement structural improvements, including operational policies and architecture. Develop and manage a common ML platform for the company. Develop and manage a common platform for efficiently operating the training and serving of internal ML/LLM models based on Kubeflow. Continuously monitor and optimize the performance and resources of workloads executed on the platform. Build infrastructure for LLM-based services. Operate LLM services using various serving frameworks such as vLLM, SGLang, and Triton. Manage the environment to ensure stable operation of training and serving workloads on high-performance GPU clusters like H100/B300. Build and operate a large-scale data training environment for finance domain-specific LLMs. We Are Looking for Candidates Who: Are proficient in one or more programming languages such as Python, Go, Java, or Kotlin, and have experience designing and developing API servers in production environments. Have experience developing or operating API Gateways (Nginx, Kong, etc.) or LLM Routers (LiteLLM, Envoy AI Gateway, etc.), with a background in handling high-volume traffic and incident response. Have experience operating serving logs and event pipelines integrated with Kafka, Elasticsearch, and Kibana. Have experience defining monitoring metrics for model serving and configuring and operating dashboards using Prometheus and Grafana. Have experience operating ML/LLM model serving using KServe, BentoML, vLLM, SGLang, etc. Have experience directly managing MLOps components (Kubeflow, KServe, Airflow, Argo CD, MLflow, etc.) in Kubernetes environments and debugging and resolving issues. Can design and apply long-term improvement plans through root cause analysis beyond short-term responses to issues that arise during service operations. Additional Preferred Experience: Experience in related fields or technologies will be a plus.

At Databricks, we prioritize a proactive culture and a customer-centric approach that drives our mission to provide a unified platform for data science and analytics. We empower our clients to make informed decisions that propel their businesses forward. Our intuitive platform simplifies the process of transforming insights into actionable outcomes, fostering a spirit of creativity, experimentation, and continuous improvement.As a Senior Solutions Engineer, you will play a pivotal role in this mission, leveraging your technical expertise to illustrate how our Data Intelligence Platform can address complex data challenges faced by our customers. You will be part of a collaborative, customer-focused team that values innovation and creativity, using your skills to craft tailored solutions that help clients achieve their objectives. Join us on our journey to revolutionize the way people interact with data and contribute to a better world!

Join the Toss Securities Frontend Chapter!At Toss Securities, we are dedicated to creating innovative mobile products that seamlessly integrate native Android and iOS applications with web views using modern web technologies. Our mission is to simplify complex investment products, ensuring that everyone can enjoy a user-friendly and sleek investment experience.We leverage cutting-edge engineering techniques to showcase real-time data without interruptions, optimizing performance for our users.Your Responsibilities:- Optimize performance across various domains including browser, CDN, and network to provide the best user experience for over 2.5 million daily active users and 90,000 concurrent users.- Provide guidance and modules to product developers for easy performance optimization.- Actively manage a redundant deployment infrastructure utilizing cloud services such as AWS and Cloudflare.- Develop monitoring and error response tools tailored for real-time traffic.- Build a self-service MFA development framework that allows independent development across teams.- Provide a client log SDK operated by Toss Securities.- Create a development environment that facilitates a smooth transition between native and web view screens, free from compatibility issues.What We've Achieved:- Our mobile products at Toss Securities operate as a unified service, employing a Micro Frontend Architecture (MFA) to reduce complexity in product development.- Implemented a SharedWorker-based module to optimize WebSocket communication for our PC platform.- Established a deployment pipeline that supports rapid and reliable FE platform releases multiple times a day.What We're Looking For:- A deep understanding of frontend development and deployment environments.- Proven experience in identifying and improving issues within these environments.- Experience in accurately analyzing and resolving root causes beyond merely solving problems.- A background in automating frequent tasks to a high degree.- A keen interest in testing within frontend environments.Resume Tips:- Highlight the impact and learning points from your experiences, rather than just listing them.- Share your understanding of web browser mechanics and any experiences that improved web service performance.- Provide details on your understanding of transpiling and bundling, especially in supporting a wide range of browsers efficiently.- Mention any experience managing multiple packages within a single monorepo.- Discuss your proactive approach to researching and adopting new technologies.Technologies We Use:- Core: React, TypeScript- Package Managers: PNPM, Yarn- Build Tools: ESBuild, Vite, Webpack, SWC, Babel- Infrastructure: AWS, CloudFlare, Terraform- Monitoring: Sentry, Grafana- CI/CD: GitHub Actions, GoCDYour Journey with Toss Securities:- Application submission > Pre-assessment task > Technical interview > Cultural fit interview > Reference check > Offer negotiation > Final acceptance and onboarding.Please Note:- Any false information in your resume or disciplinary issues during your employment history may result in cancellation of recruitment.- Candidates subject to hiring restrictions according to Toss Securities regulations may also be disqualified.- Individuals with disabilities and veterans will be given preferential consideration in accordance with relevant laws.- The job title upon joining will be 'Frontend Developer'.A Message to Future Colleagues:"We support our best colleagues to achieve exceptional performance."

Join us at the forefront of agentic AI, where you'll be part of a team that builds intelligent systems capable of deep understanding. At Sendbird, we are not just developing prototypes; we are deploying AI solutions at scale that genuinely think and adapt.About SendbirdSendbird is committed to shaping the future of AI-driven customer interactions. With over a decade of experience in creating robust infrastructures for chat, voice, video, and messaging APIs, we've established ourselves as the leading CPaaS platform for in-app communications. Trusted by over 4,000 brands and facilitating 7 billion messages monthly, we connect 300 million active users.Our clients include industry leaders like DoorDash, Match Group, Noom, Yahoo Sports, and Rakuten. Our track record speaks for our expertise and excellence.Recognizing the transformative potential of AI in customer communication, we pivoted to an AI-first strategy in December 2024, launching our AI agent for enterprise customer experience by February 2025. Our rebranding to Delight.ai in November 2025 encapsulates our mission: to not just enhance efficiency, but to restore the essence of personalized service—creating delightful experiences for customers.About Delight.aiDelight.ai acts as the AI concierge for customer interactions, ensuring continuity and understanding across various channels. Unlike other AI agents, our solution retains memory, learns individual preferences, and maintains context—delivering a truly personalized experience.Why Join as a Senior Software Engineer, AI Agent?In an industry filled with superficial solutions, Sendbird's AI Agent platform stands out for its robustness, scalability, and genuine intelligence. This is not just maintenance work; you'll shape the core platform, designing orchestration, RAG pipelines, evaluation, and observability that will impact millions of customer interactions for years to come.