Serdao
We are hiring an AI Consultant to design, build, and ship production-grade AI platforms and agentic systems for our global clients. The ideal candidate is comfortable owning AI products end-to-end — from problem definition and architecture through retrieval pipeline design, LLM orchestration, and deployment — with a strong focus on reliability, cost efficiency, and scale. This role suits an engineer who has built RAG systems and multi-agent platforms in production, can move comfortably between AI engineering and full-stack delivery, and aligns architectural decisions with long-term business outcomes.
• 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
• 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
• 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.
Preferred Qualifications (Good to Have)
• 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.
English
Nói: Intermediate - Đọc: Intermediate - Viết: Intermediate
We also provide technical support and user assistance services in the IT field.
