Type
Full-time
Work mode
On-site
Level
Staff
Industry
Other
Salary
Thương lượng
Location
Quận 1, Hồ Chí Minh, Hồ Chí Minh
Overview
- Design and deliver production-ready AI platforms, agentic pipelines, and resilient data and retrieval workflows.
- Architect and implement multi-agent systems using LangChain, LangGraph, LlamaIndex, and custom orchestration frameworks where efficiency demands it.
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines across structured and unstructured data sources using vector databases such as ChromaDB, FAISS, Weaviate, and Pinecone.
- Own end-to-end AI feature delivery — retrieval logic, prompt engineering, model selection, API integration, and deployment.
- Build and maintain LLMOps and MLOps tooling, including prompt versioning, evaluation, monitoring, and inference cost optimization.
- Develop full-stack AI applications using Python/FastAPI on the backend and React/Next.js on the frontend.
- Integrate with model providers and platforms including OpenAI, Anthropic, Vertex AI, Azure AI Foundry, Azure OpenAI, and Azure AI Search.
- Design compliance-aware AI systems for regulated industries (e.g., healthcare, pharmaceutical, financial services).
- Take ownership of cloud and infrastructure decisions across AWS (Glue, S3, EMR, EC2), GCP, and edge platforms such as Cloudflare Workers, Vercel, and Netlify.
- Translate ambiguous business requirements into stable, shippable, well-architected systems.
- Working time: 14:00-23:00, 5 days / week, 2 weekoffs / week
- Start date: ASAP
- Engagement: Long-term
- Language: English professional mandatory
- 3+ years of hands-on experience in AI engineering, agentic systems, or applied machine learning.
- Strong proficiency in Python and modern AI tooling: LangChain, LangGraph, LlamaIndex, FastAPI.
- Proven experience designing and deploying production RAG pipelines and multi-agent architectures.
- Hands-on experience with vector databases (ChromaDB, FAISS, Weaviate, Pinecone) and embedding strategies.
- Solid working knowledge of LLMOps practices: prompt versioning, evaluation, inference cost optimization, and deployment workflows.
- Experience with at least one major cloud platform — AWS (Glue, S3, EMR, EC2), GCP (Vertex AI), or Azure (AI Foundry, OpenAI, AI Search).
- Strong full-stack ability: comfortable building both backend APIs (FastAPI) and frontend interfaces (React, Next.js).
- Working knowledge of JavaScript/TypeScript; exposure to additional languages (Rust, Java, C/C++) is a plus.
- Demonstrated ability to take systems from problem definition through to production deployment.
- Excellent ownership mindset, with strong communication and stakeholder alignment skills.
Requirements
- Experience with Model Context Protocol (MCP) integrations, Chrome extensions, or developer-tooling products.
- Background delivering AI products in regulated domains — pharmaceutical, healthcare, fintech.
- Experience with edge and serverless deployment (Cloudflare Workers, D1, R2, Pages; Vercel; Netlify).
- Familiarity with DevOps and CloudOps practices, CI/CD, NGINX, and containerized deployments.
- Relevant certifications: Google Cloud (Agentic AI, MLOps for Generative AI), Multi-Agent Systems with ADK, Hybrid Vector Search, Responsible AI, or equivalent.
- Education
- Bachelor's degree in Computer Science or a related discipline (required).
- Advanced degree or specialized AI/ML coursework considered a plus.
- Why You'll Love Working Here
- Join a French tech company in Vietnam, combining European standards with local agility
- Work in a truly international environment, with 13+ nationalities collaborating daily
- Contribute to projects serving clients in 32 countries worldwide
- Be part of long term, meaningful SaaS projects with real business impact
- Grow your skills through mentoring, code reviews, and collaboration with experienced teams
- Enjoy a professional, supportive, and people focused work culture
- Visa, resident card, and work permit provided for expat profiles working in Vietnam
Benefits
Healthcare
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