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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.

We’re building a next-generation Search experience that understands intent, retrieves information intelligently, and helps users complete tasks with the support of ML and LLM workflows. As a Search Senior Product Executive, you’ll work across Product, Engineering, and Data teams to improve relevance, quality, and emerging agentic capabilities.Mô tả công việcAnalyze search behavior, identify failure patterns, and drive improvements in query understanding and relevance.Collaborate with ML/DS teams on retrieval (embeddings, vector search, ranking) and LLM-driven components (rewriting, semantic scoring, evaluation).Support agentic search workflows involving tool/function calling and multi-step task completion.Maintain and improve structured data powering search entities and metadata.Write product requirements, support experimentation (A/B tests), and monitor key KPIs such as success rate, relevance, CTR, and latency. Yêu cầu công việc2-3 years experience in Search in B2C products.Experience of ML/LLM workflows and ability to work with technical teams.Experienceto agentic systems or multi-step workflow design and evaluation.Strong analytical skills;experience with experimentation and metrics evaluation.Strong UX sense for simplicity and efficiency.Clear communication, structured thinking, and strong problem-solving skills.

Mô tả công việcArchitect end-to-end generative AI solutions including Large Language Models (LLMs), multimodal AI systems, and AI-powered applicationsDesign and implement scalable generative AI systems leveraging state-of-the-art models such as GPT, Claude, Llama, and other foundation modelsBuild production-ready generative AI products including conversational AI, content generation, code generation, and intelligent automation systemsDevelop and optimize LLM fine-tuning, prompt engineering, Retrieval-Augmented Generation (RAG), and model alignment techniquesLead cross-functional collaboration with data scientists, ML engineers, product managers, and business stakeholders to deliver complete AI solutionsEstablish MLOps practices for generative AI including model versioning, A/B testing, monitoring, and continuous deploymentMentor engineers and provide technical leadership in generative AI best practices and emerging technologiesResearch and evaluate new generative AI techniques, tools, and frameworks to maintain competitive advantageEnsure responsible AI practices including safety, fairness, privacy, and ethical considerations in all AI systemsYêu cầu công việc3+ years of relevant professional experience in AI/ML with 2+ years specifically in Generative AIDeep expertise in Large Language Models, transformer architectures, and generative AI techniquesHands-on experience with foundation models (GPT-4, Claude, Llama, Gemini) and fine-tuning approaches (LoRA, QLoRA, PEFT)Production experience with generative AI applications including RAG systems, AI agents, and conversational AIStrong programming skills in Python with proficiency in PyTorch, Transformers, LangChain, and modern AI frameworksExperience with cloud platforms (AWS, GCP, Azure) and AI/ML services for model deployment and scalingLeadership experience in guiding technical teams and driving AI product development

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: The Data Engineer plays a pivotal role in the development of our data systems. A successful candidate will design, implement, test, deploy, and monitor production data pipelines using MLOps methodology in close collaboration with other teams. The candidate will need to quickly learn and apply new cutting-edge technologies, focusing on Large Language Models (LLM). The goal is to produce agile, scalable, and fault-tolerant systems as we grow in size and sophistication. This person will follow coding best practices, participate in code and design reviews, and advocate for coding excellence. What You’ll Bring: Degree in a quantitative or technical discipline (computer science, engineering, etc.) Basic knowledge of probability and statistical theory At least 2 years’ experience in developing and managing scalable and robust data pipelines Have a deep understanding of machine learning, and experience in training, inference, and evaluation. Experience with LLM technologies and agentic systems Excellent Python coding skills; familiarity with pandas / polars / duckdb is required Strong analytical skills and attention to detail Excellent communication skills in both verbal and written form Ability to operate in a collaborative, team-oriented culture Proactive and mature approach to problem-solving and project management Experience with Kubernetes (k8s) for deployment is preferred Experience with monitoring and alerting tools is preferred Familiarity with infrastructure management and deployment and ML Ops is preferred 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.