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Role Overview We are seeking a highly skilled NLP Generative AI Specialist to design and implement advanced language intelligence systems powered by LLMs and modern Generative AI architectures. This role focuses on building scalable AI solutions for multilingual text understanding, retrieval-augmented generation (RAG), and enterprise AI applications. The ideal candidate combines deep expertise in deep learning frameworks, modern transformer architectures, and multilingual NLP systems, with hands-on experience developing production-grade GenAI pipelines and LLM-powered applications.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: As aData Engineer at WorldQuant, you will be at the heart of transforming unstructured text into actionable, high‑value insights that power quantitative investment strategies. This is a hands-on, engineering role where you’ll design, build, and scale the data pipelines that underpin our data research. This role is ideal for someone who loves building production systems, enjoys working deeply with text and large language models, and wants their engineering work to empower quantitative research at the firm. You’ll join a highly technical, collaborative environment where you work closely with Research and where your ideas can quickly translate into impact at scale. What You’ll Bring: BSc/M.Sc. from a leading university in Computer Science, Engineering, or related discipline Demonstrated experience programming scalable and robust software in Python Demonstrated experience building or maintaining data pipelines Basic knowledge of probability and statistical theory Experience working in Linux environments Experience with building and operating ML inference pipelines. Experience with using LLM for structured data extraction. Strong communication skills; ability to express complex concepts in simple terms Experience in the financial services industry is a big plus Knowledge of workflow scheduling techniques (e.g. Airflow) is a plus Prior experience working with text data in a data science/quantitative project environment What We Offer: Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday We offer a strong culture of learning and development: training courses, library, speakers, share and learn events Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people Premium Health Insurance and Employee Assistance Program Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc. Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams Happy-hour with tea break, snacks and meals every day in the office! #LI-VP1By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

MoMo is the market leader in mobile payments in Vietnam. We strive to make all transactions fast, easy and joyful. We are looking for an experienced AI Engineer to join our growing Big Data AI team. At MoMo, we make AI/Machine Learning the core component to almost every part of the product - product recommendation, personalization, conversational AI, eKYC, risk scoring, fraud detection, promotion targeting and financial services. As a Senior AI Engineer, you will play a leading role in developing our Customer Service Chatbot system, delivering intelligent and seamless support experiences to millions of users.Mô tả công việcDesign, build, and optimize LLM-powered chatbot systems for customer service at scale;Develop and implement RAG (Retrieval-Augmented Generation) pipelines, prompt engineering strategies, and agentic workflows for domain-specific performance;Architect conversation flows, intent handling, and dialogue management systems that handle complex multi-turn interactions;Build evaluation frameworks and monitoring systems to measure chatbot quality, detect hallucinations, and ensure response accuracy;Collaborate cross-functionally with product, customer service operations, and engineering teams to continuously improve chatbot capabilities;Write production-grade code and maintain robust, scalable AI systems serving millions of users;Stay current with LLM advancements and evaluate new models, techniques, and tools for potential adoption.Yêu cầu công việc5+ years of experience as an AI Engineer, with at least 2 years focused on LLM applications or conversational AI systems;Deep understanding of LLM architectures, capabilities, and limitations (GPT, Claude, LLaMA, etc.);Experience building chatbot or virtual assistant systems, particularly for customer service use cases;Fintech domain experience is a strong plus;Proficiency in RAG systems, vector databases, embedding models, and prompt engineering techniques;Strong software engineering skills in Python. Experience with LLM tooling (LangChain, LlamaIndex, etc.);Experience with system design for high-availability, low-latency services;Familiarity with evaluation methods for generative AI systems and conversation quality metrics.

MoMo is the market leader in mobile payments in Vietnam. We strive to make all transactions fast, easy and joyful. We are looking for an experienced Software Engineer to join our growing Big Data AI team. At MoMo, we make AI/Machine Learning the core component to almost every part of the product - product recommendation, personalization, conversational AI, eKYC, risk scoring, fraud detection, promotion targeting and financial services.As a Software Engineer specializing in Natural Language Processing (NLP), you will play a pivotal role in crafting and deploying advanced conversational AI systems. This position offers a unique chance to make a significant impact by leveraging Generative AI and Large Language Models to transform interactions for millions of users. Join us in pushing the boundaries of AI technology and shaping the future of mobile payments in Vietnam.Mô tả công việcDevelop and Implement Conversational AI Solutions: Design, build, and maintain advanced conversational AI systems that enhance user interactions, utilizing cutting-edge NLP technologies and Generative AI.Contribute to System Architecture: Participate in the design and architecture of systems and infrastructure, ensuring robustness and scalability.Maintain High Standards of Code Quality: Write clean, maintainable, and efficient code in Kotlin and Python, and participate in code reviews to uphold the team's quality standards.Collaborate with Cross-Functional Teams: Work closely with product managers, data scientists, and other engineering teams to integrate AI-driven features into our platform, ensuring seamless user experiences.Yêu cầu công việcWhat we are looking forStrong Problem-Solving Skills: You have a proven track record of tackling complex technical challenges and delivering effective solutions, particularly in the realm of AI and machine learning.Ownership and Proactivity: You take initiative and are driven to see projects through from start to finish. You are someone who can be relied upon to deliver results with minimal supervision.Backend Engineering Proficiency: Minimum 5 years of experience as a Software Engineer, with strong skills in backend languages like Kotlin, Python, Java, or Go.High Standards for Quality: You take pride in your work and strive to deliver solutions that are not only functional but also maintainable and scalable.BenefitsCompetitive compensation package.Performance-based bonus.Insurance package.Chance to work with many strong people with international experience.

AI Engineer with full-stack capabilities in Computer Vision and NLP, supporting the building, testing, and deployment of machine learning models and algorithms. The role works closely with senior engineers and cross-functional teams (product, marketing, data science) to integrate AI features into user-facing products and internal tools. Responsibilities also include improving AI pipeline performance, monitoring and evaluating deployed AI systems in operation, and assisting in the development of AI-powered internal tools such as assistant bots for content generation, marketing workflows, and other internal processes.Mô tả công việcDevelop and test AI-driven features in collaboration with the senior engineering team, focusing on marketing tools, user engagement, and automation products.Assist in building and improving internal AI tools, such as bots for content generation and workflow automation, to enhance team productivity.Support the deployment and maintenance of machine learning models and ensure their effectiveness in production environments.Continuously monitor AI systems and suggest improvements based on user feedback and system performance.Work in an agile environment, participating in sprint planning, development, and testing cycles.Yêu cầu công việcBachelor’s degree in Computer Science, Engineering, Mathematics, Data Science, or a related field.Basic understanding of AI/ML concepts and experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.Proficiency in programming languages like Python, with a solid understanding of coding practices and principles.Familiarity with data manipulation and analysis tools (e.g., Pandas, NumPy).Familiarity with cloud platforms (AWS, GCP, Azure) is a plus.Strong analytical and problem-solving skills, with a willingness to learn and adapt to new technologies and challenges.Good communication skills and the ability to work collaboratively within a teamExperience with project about Computer vision and NLP

MoMo is the market leader in mobile payments in Vietnam. We strive to make all transactions fast, easy and joyful. We are looking for an experienced QC/QA Engineer to join our growing technology team. At MoMo, we build innovative solutions across product recommendation, personalization, conversational systems, eKYC, risk scoring, fraud detection, promotion targeting and financial services. As a QC/QA Engineer specializing in Natural Language Processing (NLP), you will play a pivotal role in ensuring the quality, reliability, and performance of our advanced conversational AI systems. This position offers a unique chance to make a significant impact by developing comprehensive testing strategies for Generative AI and Large Language Models, ensuring seamless and accurate interactions for millions of users. Join us in maintaining the highest standards of quality while pushing the boundaries of AI technology and shaping the future of mobile payments in Vietnam.Mô tả công việcCreate/Modify test-related artifacts (test cases, test report, test plans).Track and control testing progress, and report to TL about any quality problems/issues of the project.Perform all phases of testing including functional, system and regression testing.Participate in peer review and inspect requirement documents.Prepare test data and environment as needed to complete testing assignments.Have a proactive and good work relationship with other team members.Analyze and raise the issues, propose the solution to improve the system.Yêu cầu công việcDegree in Computer Science or related fields5+ years experiences in manual test Web, App MobileExperience in QC of highly scalable, distributed and high-performance applications as APIs, Adhoc Test.Ability to hands-on testing in multiple projects, Integration Test and developing test cases, test planHave knowledge and experience in API testing (Postman tool), Query Databases, Performance test (Jmeter)Good knowledge of databasesGood knowledge of software development methodologiesGood analytic skills and mindsetMotivated and ability to work overtimeTeamwork spiritExperience in automation testing for web apps, mobile is a big plus.

【About LIGHT SEEKER Program】★ Internship Period:2026/06/29~2026/08/31★ Application Deadline:2024/04/01★ Salary: NTD $45,000/ monthLIGHT SEEKER is LITEON Technology's all-English summer internship program.Join us, you'll have the chance to connect with interns from around the world, and through departmental internships, you'll deeply explore LITEON, discover your true self, identify what you truly value, and even have the opportunity to secure a pre-offer!Wanna know more about LIGHT SEEKER Check it out▸Mandarin version: https://vocus.cc/article/6756af95fd897800019ca395▸English version: https://vocus.cc/article/6756af6efd897800019c9fab★ Program Introduction Streamlined Video | Online (2026/03/20)【Position】 【LIGHT SEEKER Intern】Software Engineer Intern_Information Security Information Technology【Location】 Taipei Neihu【Project Name】 Workflow Intelligent Search Platform【Department Introduction】The department is responsible for the development, maintenance, process governance, and cross-system integration of the enterprise workflow platform (eFlow) and its related systems.Our scope includes core applications such as attendance management,business travel and expense reporting, payment requests, purchasing processes, and the supplier/employee portals.【Goal】The goal of this project is to introduce full-text search and AI capabilities to improve search performance and user experience.•Phase 1 – Search foundationBuild keyword-based full-text search with access control, allowing users to quickly locate documents.•Phase 2 – AI enhancementAdd AI features such as semantic search, result summaries, image recognition for attachments, RAG, and agents.This allows knowledge to evolve from “searchable” to “understandable and actionable,” such as assisting with form applications or comparing multiple forms.Your Role in This ProjectIn this project, you will mainly work on semantic search and search result summaries.【Project Content】1. Natural Language → Structured QueryBuild AI logic that understands user intent and key information, converting natural language questions into accurate search queries.2. Smart SummariesDesign prompt based solutions that turn raw search results into clear, structured summary cards, helping users quickly understand key points.3. Cross Document ComparisonUse LLMs to compare multiple historical forms and highlight content changes, important value differences, and policy updates.4. Prompt Quality ReliabilityTest and improve prompts to reduce AI hallucinations and make sure unclear queries still return the correct results.5. Integration Performance OptimizationIntegrate AI features into the existing search flow while optimizing response time and token usage.【Milestone】Week 1–2• Learn the search API and form data structure• Build the intent to query translation moduleWeek 3–5• Design summary card templates• Implement cross form comparison logicWeek 6–7• Integrate AI modules into the live search system• Pre release testing and debuggingWeek 8• Documentation• Final project presentation【Deliverables】1. Project source code2. A prompt engineering guide (best prompts for different form types and use cases)3. A project report showing before and after improvements in search accuracy, speed, and user workflow【Tool Used】1. Visual Studio Code2. Visual Studio Insiders3. SQL Server Management Studio

Minimum qualifications: Currently enrolled in a PhD program in Computer Science and Engineering, Machine Intelligence and Data Science, AI, or a related technical field. Experience in one or more areas of Machine Learning (e.g., Large Language Models, Deep Learning, Natural Language Understanding, Computer Vision, etc.). Experience programming in Python. Preferred qualifications: Currently enrolled in a full-time degree program and returning to the program after completion of the internship. Experience as a researcher, including internships, full-time, or at a lab. Experience contributing to research communities or efforts, including publishing papers in conferences or journals. Experience with one or more ML frameworks (e.g., TF, JAX, Flax, etc.). Experience working with big-data or training a foundational model. Ability to design and execute on research agendas. About the jobResearch happens across Google everyday, in many different teams. Our research has already impacted user-facing services across Google including Search, Maps, and Google Now, and is central to the success of Google Cloud and our computing, storage, and networking infrastructure.Research Interns work with Research Scientists and Software Engineers to discover, invent, and build at scale. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes. From creating experiments and prototyping implementations to designing architectures, Research Interns work on challenges in artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, storage and data management, and more. You are also expected to contribute to the wider research community by publishing papers.This research internship is part of AI Innovation and Research (AIR), the applied research arm of Platforms and Devices organization. Within AIR, we focus on both foundational research and AI solutions to deliver the next generation of products in Platforms and Devices. This involves collaborating with Android, Chrome, XR, Home and other teams within Platforms and Devices.Our work encompasses—but is not limited to—on-device intelligence, foundational models, privacy, performance optimization for resource-constrained environments, novel ML architectures and AI-driven product experiences.Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.Responsibilities Participate in research to develop solutions for problems. Research, conceive, and develop ML solutions to accelerate different teams in platforms and devices. Contribute to deeper understanding of limitations of ML architectures, trade-offs and optimizations. Lay down the next steps for adoption of the research into next generation product development. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages: Python, Java, or C++. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing or other machine learning disciplines. Experience working as Technical Solution Architect in a cloud computing environment or a customer-facing role. Ability to communicate in English and Japanese fluently to support client relationship management in this region. Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. 5 years of experience with data structures and algorithms. Experience with building AI and machine learning solutions, Machine Learning Operation frameworks like Kubeflow, and leveraging machine learning architectures (e.g., deep learning, LSTM, etc.). Experience architecting and developing software or infrastructure for distributed systems and with machine learning technologies. Understanding of AI Models, Large Language Models, AI specialized infrastructure and AI practice. Ability to learn, understand, and work with new technologies, methodologies, and solutions in the Cloud/IT technology space. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. The Google Cloud Platform Generative AI team helps customers unlock their potential with AI. As part of an entrepreneurial team in this growing business, you will help shape the future of businesses of all sizes using AI and ML. You will apply expertise in implementing and deploying Generative AI (GenAI) solutions.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers. Provide AI expertise to support the technical relationship with Google’s customers, manage product and solution briefings, create demos, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud. Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution Google Cloud. Support developers, creators, and enterprises to leverage Google’s Generative Language APIs so they can build their own AI products in the future. Travel to customer sites, conferences, and other related events as needed. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google’s technology, platforms and people and we welcome Indigenous applicants. Please see our Reconciliation Action Plan for more information.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sydney NSW, Australia; Docklands VIC, Australia.Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience in managing project and delivering technical solutions. Experience in one or more discipline areas: machine learning, recommendation systems, natural language processing, computer vision, pattern recognition, or artificial intelligence. Experience with technical client service (e.g., consulting experience). Preferred qualifications: Experience in systems design with ability to architect and explain data analytics pipelines and data flows. Experience designing and deploying with one or more from the following technologies: TensorFlow, Spark ML, CNTK, Torch, Caffe, Scikit-learn. Experience building cloud-based conversational AI solutions. Experience with generative AI products, technologies, or infrastructure. Experience in a statistical programming language like R or Python and applied machine learning techniques (e.g., dimensionality reduction strategies, classification, and natural language processing frameworks). Excellent communication, written, presentation and problem-solving skills. About the jobThe Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.As an Artificial Intelligence/Machine Learning (AI/ML) Consultant, you will work directly with Google’s most customers on critical projects to help them transform their businesses using AI/ML technologies. You will help our customers to develop, deploy, and manage custom AI solutions in production using Google Cloud technologies. You will provide technical project management, consulting and technical aptitude to customer engagements while working with client executives and key technical leaders to deploy solutions on Google Cloud Platform. You will also work closely with key Google partners currently servicing accounts to scope engagements, manage programs, deliver consulting services, and provide technical guidance and best practice expertise. You will possess a background in developing AI solutions, applying key industry tools, techniques, and methodologies. You will know how to navigate ambiguity, and you will be a technical expert in your field, and you can deliver customer success. You will have excellent client-facing communication and project management skills.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Work with customer technical leads, client executives, and partners to scope, manage and deliver successful implementations of Cloud AI solutions, becoming a trusted advisor to decision makers throughout the engagement. Propose solution architectures and manage the deployment of cloud based machine learning solutions according to customer requirements and implementation best practices. Work with internal specialists, Product, and Engineering teams to package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets. Interact with Sales, Partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful client outcomes. Travel approximately 30% of the time for client engagements. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.