Staff Software Engineer - Front End AI
As a Staff Front-End Engineer at Agoda, you will be responsible for designing and building AI-driven chat experiences for Agoda's AI Assistant, trip planning, customer support, and recommendations. You will work with engineers, data scientists, and product managers to scale next-generation AI solutions, focusing on intuitive, personalized travel planning for millions of customers worldwide. This role involves spearheading architecture, driving performance, and mentoring the FE engineering team.
At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.
As our Staff Front-End Engineer, you will design and build AI-driven chat experiences that power Agoda’s AI Assistant, trip planning and discovery, customer support flows, and proactive recommendations. You’ll work closely with engineers, data scientists, and product managers to define, build, and scale the next generation of AI solutions that make travel planning more intuitive, personalized, and effortless for millions of customers worldwide.
We’re looking for a visionary Front-End architect with a strong hands-on mentality — integrating innovative AI capabilities and rapidly validating ideas through experimentation. You will create measurable impact on traveler experience and business outcomes, while upholding Agoda’s standards for privacy, reliability, and the responsible use of AI.
Posted June 2, 2026