Lead Data Engineer

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

Negotiation

Application Engineer

Ho Chi Minh - Viet Nam

Product

• Frontend
• ReactJS
• NodeJS

Build and maintain the Jan desktop app across macOS, Windows, and Linux using Tauri. Work full stack across the app: React and Node.js on the application layer, Rust on the native side. Own packaging, builds, and distribution: installers, auto-update, release pipelines, and code signing. Give Linux first-class support: packaging and distribution across common distros. Integrate local model runtimes and app features end to end. Work agent-natively as your default, running agents in parallel with your own review and guardrail discipline.

Negotiation

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

Negotiation