Manager/ Lead/ Senior Data Analyst

Senior Data Engineer (C++, Python, AI/LLM)

Ho Chi Minh - Viet Nam

Outsource

Enrich a wide range of structured and unstructured data into high-quality datasets for quantitative analysis and financial engineering. Enhance data quality and integrity by developing validation tools and frameworks to measure the effectiveness of data enrichment pipelines. Develop a deep understanding of machine learning, deep learning, and emerging AI/LLM applications, and analyze the underlying dynamics and behaviors within the data. Generate insights from large-scale datasets and collaborate with research teams to identify opportunities for tradable signals. Design and develop utility tools to automate software development, testing, deployment, and monitoring workflows. Provide technical support for global researchers, including diagnosing root causes of technical issues, troubleshooting Python and C++ code, and proposing scalable fixes and improvements. Investigate, debug, and resolve issues in C++ applications and data pipelines, with a strong focus on performance, stability, correctness, and maintainability. Explore and apply AI/LLM-based solutions to improve data processing, workflow efficiency, troubleshooting, documentation, and research support processes.

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Senior Backend Engineer

Ho Chi Minh, Ha Noi - Viet Nam

Product

Design, build, and operate backend services that power a leading B2B SaaS platform for the construction industry. Design clean, maintainable, and extensible software architecture. Identify and resolve performance bottlenecks (query optimization, caching, async processing). Drive software quality through automated testing, code reviews, observability, and CI/CD practices. Review and validate AI-generated code to ensure maintainability, correctness, and security. Mentor engineers and raise the team's engineering bar.#Development environment: Backend: Ruby (on Rails), Golang, Amazon Aurora (MySQL), DynamoDB FrontEnd: Nuxt.js, Vue.js, Next.js, ReactJS Mobile App: Kotlin, Swift, Flutter Deploy/ Build: AWS Amplify, CodePipeline, CodeBuild, CircleCI, GitHub Actions Others: Swagger, Docker, Figma, Confluence, JIRA, esa, gRPC Infrastructure: Helm, Terraform Automation test: Autify, Magicpod

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AI Engineer

Ho Chi Minh - Viet Nam

Product

• AI
• Python

#AI-Powered Insurance Solutions Develop and deploy machine learning models to support insurance recommendation, pricing, risk assessment, and claims automation Build and maintain AI-powered features integrated into our embedded insurance platform - from data pipelines to inference APIs Design and implement RAG (Retrieval-Augmented Generation) pipelines and LLMbased assistants for internal and customer-facing use cases Collaborate with product and engineering teams to translate business requirements into practical AI solutions Participate in the full ML/AI lifecycle: data collection, feature engineering, model training, evaluation, deployment, and monitoring Contribute to our internal AI agent framework - building, testing, and improving multiagent workflows using LangChain, LangGraph, or similar tools Ensure AI models and services meet performance, reliability, and compliance standards in a regulated (insurance) environment Participate in developing CI/CD workflows for AI/ML/Data pipelines. Contribute to Agent Development Toolkits (ADK) and the automated Software Development Life Cycle (SDLC) that accelerate AI-native feature delivery#R&D & Engineering Tasks Research and experiment with state-of-the-art AI/ML techniques and evaluate their applicability to insurance use cases Prototype new AI capabilities quickly, iterate based on feedback, and graduate successful experiments into production Document experiments, model architectures, and engineering decisions clearly for team knowledge sharing Stay current with the AI ecosystem (LLM advances, agent frameworks, tooling) and bring relevant insights back to the team Support Full Stack Engineers in using the AI Development Toolkit (ADK) to develop applications - guiding and enabling their use of the toolkit rather than building the applications yourself - and maintain a basic understanding of the SDLC to help ensure consistent engineering standards across the platform Contribute to and continuously enhance the system knowledge base, ensuring documentation, patterns, and learnings are accessible to the agents

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