Base.vn is a product-centric technology company building software platforms that help businesses operate more efficiently, improve transparency, and make data-driven decisions.

At Base, Artificial Intelligence is a core part of how our products are built, not an add-on. We apply AI to real operational problems - from workflow automation to decision support - where reliability, scalability, and user trust matter.

Our products are developed on three core pillars: Data & AI, Interaction, and Open Platform, enabling businesses to connect data, systems, and processes on a unified, AI-ready platform designed for real-world scale.

With over 10,000 businesses trusting Base across industries, our AI systems are built to meet high standards for system reliability, scalability, security, and user experience.

We believe the best AI-powered products are built by engineers who understand the problem, understand the user, and take full ownership of the real value their AI delivers.

What you do

We are looking for an AI Engineer with a strong execution mindset, capable of building fast, testing fast, and shipping fast AI features that are used in real production products.

This role focuses on turning clearly defined AI directions from Product into production-ready solutions, bringing AI into production in a responsible way - with attention to reliability, cost, and operational risk.

This is not a research role or a position focused on building complex models from scratch. Instead, it is a Product AI Engineer - execution-focused, with the following core responsibilities:

• Implement AI/GenAI features for real-world use cases such as: workflow automation; data analysis; decision support
• Build AI-powered logic and AI agents capable of: analyzing operational data;
• detecting issues or anomalies; generating insights or recommended actions
• Apply AI solutions pragmatically, including: LLMs / GenAI; prompt engineering, tool/function calling; rule-based logic and heuristics when appropriate
• Work closely with the Product Lead to: rapidly test AI assumptions; refine or discard approaches that do not deliver value
• Collaborate with Software Engineers to integrate AI into existing systems, ensuring stability and suitability for production environments

Who you are

• Strong proficiency in Python
• Hands-on experience deploying GenAI/LLMs in production environments, including: prompt engineering; tool/function calling; integrating AI into real business workflows
• Proven experience shipping AI features to production (even at a small or limited scale)
• Product-focused mindset: cares about whether AI truly helps users work better and make better decisions

• Experience with AI Agents or Reinforcement Learning
• Background in building SaaS, B2B, or enterprise products
• Understanding of workflows and business processes
• Basic knowledge of: recommendation systems; decision support systems
• Experience deploying AI solutions on cloud platforms

What you can get

• Attractive salary package & plus bonus based on performance
• Flexible evaluation of salary increase (1-2 times/year) commensurate with work results
• Opportunity to receive ESOP shares (employee stock ownership plan) for outstanding contributors
• High performance computer and screen
• Team building, vacation in a year, and other engagement activities
• Other benefits as prescribed by the Labor Law

• Fast-track career: Join a full cycle of building real products for market and continuously grow with the scalability of products.
• Unlimited learning opportunities: Enhance your expertise through a comprehensive training program, guidelines from mentors, buddies, and product development challenges.
• Visible values & impacts: Build world-class and high-performance products that solve pain points for millions of enterprises.
• Talented colleagues: Work with a team of enthusiastic and professional Product Builders who have already built a highly large-scale system serving 60+ millions of pageviews, hundreds of thousands users each month, and 10,000+ enterprises; and graduated from top universities in Vietnam & the world (Stanford, UCLA, HUST, etc.).

Get ready to be our AI Engineer!

Apply & Job Discussion with TA

• Round 1: Technical & Culture Interview
• Round 2: Final Interview with CEO

Address Office: 16th floor, HUD Building, 37 Le Van Luong, Thanh Xuan, Hanoi.