Core Responsibilities
Seedcom heavily invests in superior technology & analytics to solve challenging real- time, large- scale retail problems. This role is central to our group- wide mission of using data analytics and artificial intelligence to build a differentiated, user- centric model.
Kingfoodmart is a key part of Seedcom, Vietnam&039;s leading New Retail group with a synergistic portfolio of online and offline companies.
Our OneChef smart virtual assistant, built on Google&039;s Gemini AI, is already a live success. It delivers over 3,000 personalized recipes and shopping lists to a few hundreds of thousands active app users every month, and we are just getting started. We are now hiring the core team to scale this success and build the next generation of our AI engines, which power the Kingfoodmart website and our OneLife app.
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.
At Kingfoodmart, we are at the forefront of this AI- driven mission in the online grocery market. We are a proven innovator, as recently featured in VnExpress.
Introduction
Our renowned portfolio companies are Kingfoodmart, SCommerce (Giao Hàng Nhanh, Ahamove), Haravan, and Juno. We are founded by veteran entrepreneurs with credentials for building multiple billion- dollar enterprises from the ground up, including co- founders of Mobile World (Thế Giới Di Động) and Con Cưng, and early investors in Tiki.
The Role: Own the Future of AI in Grocery
We are seeking a full- time Senior AI Engineer to take ownership and scale our next- generation AI- driven customer experiences. You will be responsible for the continued innovation of our successful OneChef virtual assistant.
Seedcom- Create an impact for Vietnam
About Kingfoodmart
Own & Scale Conversational AI: Take full end- to- end ownership of the OneChef virtual assistant. This includes model development, training, deployment, and continuous monitoring to improve conversational accuracy and user satisfaction
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
Integrate Personalization & Pricing: Act as the primary technical collaborator with our Recommender System team. You will be responsible for designing and consuming APIs that pull real- time recommendations, customer engagement metrics, and price sensitivity data directly into the conversational logic of the OneChef chatbot
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
Collaborate with Product: Work closely with product, marketing, and data teams to translate complex business requirements (e.g., "promote this week&039;s price- optimized combos") into seamless technical solutions
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
Drive research initiatives:
○ Contribute to innovative ideas and solutions to address business challenges using AI
○ Support research initiatives by exploring new algorithms, models, and techniques in LLMs and Recommender Systems
Qualifications (The "Must- Haves")
● Solid experience with MLOps principles and tools (e.g., CI/CD, containerization with Docker/Kubernetes)
● Demonstrable expertise in Natural Language Processing (NLP) and building conversational AI (chatbots, virtual assistants) from concept to production
● 2- 4+ years of hands- on experience building, training, and deploying AI/ML models in a production environment
● Strong proficiency in Python and common ML libraries (e.g., TensorFlow, PyTorch, Scikit- learn, Hugging Face)
● Proven experience with Google Cloud Platform (GCP), specifically with AI/ML services (e.g., Vertex AI, Google Gemini models, Dialogflow)
● Bachelor&039;s or Master&039;s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field
Preferred Qualifications (The "Nice- to- Haves")
● A strong conceptual understanding of recommender systems (collaborative/content- based filtering, matrix factorization) and personalization models
● Professional experience in the e- commerce or retail industry
● Direct experience with Google BigQuery
Why Join Us?
● Real Impact: Work on a high- visibility product that is already a proven success and is central to the company&039;s core growth strategy
● Talented Team: Join a fast- moving, data- driven team that is passionate about building the future of online retail
● Modern Tech: Get hands- on access to the latest from Google (Gemini, Vertex AI) in a real- world, large- scale application
