Senior AI Engineer (Conversational AI & Personalization)

We are seeking a full-timeSeniorAI Engineer to take ownership and scale our next-generation AI-driven customer experiences. You will be responsible for the continued innovation of our successful OneChefvirtual assistant.

In this role, you will be the key bridge between our advanced conversational AI and our deep personalization engine. Your mission is to ensure that every customer interaction is not just intelligent, but also personally relevant, price-aware, and optimized for customer engagement.

Core Responsibilities

1.Own & Scale Conversational AI:Take full end-to-end ownership of the OneChefvirtual assistant. This includes model development, training, deployment, and continuous monitoring to improve conversational accuracy and user satisfaction

2.Innovate with Generative AI:Design, build, and deploy new generative AI features on our Google Cloud stack, moving beyond simple Q&A to create truly dynamic, helpful, and engaging customer interactions

3.Integrate Personalization & Pricing:Act as the primary technical collaborator with our Recommender System team. You will be responsible for designing and consuming APIsthat pull real-time recommendations, customer engagement metrics, and price sensitivity datadirectly into the conversational logic of the OneChefchatbot

4.Optimize Cloud Infrastructure:Scale and optimize our existing AI models and infrastructure on Google Cloud Platform (GCP) to ensure high availability, low latency, and performance for a rapidly growing user base

5.Collaborate with Product:Work closely with product, marketing, and data teams to translate complex business requirements (e.g., promote this week's price-optimized combos) into seamless technical solutions

6.Analyze & Iterate:Utilize our data (from sources like BigQuery) to analyze user behavior, identify new opportunities for engagement, and continuously improve the effectiveness of your models

7.Drive research initiatives:

Support research initiatives by exploring new algorithms, models, and techniques in LLMs and Recommender Systems

Contribute to innovative ideas and solutions to address business challenges using AI

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field

2 - 4+ years of hands-on experience building, training, and deploying AI/ML models in a production environment

Proven experience with Google Cloud Platform (GCP), specifically with AI/ML services (e.g., Vertex AI, Google Gemini models, Dialogflow)

Demonstrable expertise in Natural Language Processing (NLP)and building conversational AI(chatbots, virtual assistants) from concept to production

Strong proficiency in Python and common ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Hugging Face)

Solid experience with MLOps principles and tools (e.g., CI/CD, containerization with Docker/Kubernetes)

A strong conceptual understanding of recommender systems (collaborative/content-based filtering, matrix factorization) and personalization models

Direct experience with Google BigQuery

Professional experience in the e-commerce or retail industry

Real Impact:Work on a high-visibility product that is already a proven success and is central to the company's core growth strategy

Modern Tech:Get hands-on access to the latest from Google (Gemini, Vertex AI) in a real-world, large-scale application

Talented Team:Join a fast-moving, data-driven team that is passionate about building the future of online retail

How to Apply:Please submit your resume and portfolio to [Confidential Information]or phone: 0902.940.129

WorkLocation:THE 678 Building, 6th Floor 67 Hoang Van Thai, Tan My Ward, (District 7), HCMC(Phu My Hung)