Analyst, Supply GenAI

About AgodaAgoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.Our Purpose - Bridging the World Through Travel We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.About The TeamAgoda's Supply GenAI team is building the next generation of AI-powered tools to transform how our commercial operations teams work with hotel partners worldwide. We're developing intelligent assistants, automated workflows, and data-driven insights platforms that leverage Large Language Models to streamline complex business processes, improve decision-making, and scale human expertise.Our team sits at the intersection of engineering, analytics, and AI innovation. We build production systems that turn raw data into actionable intelligence, automate repetitive workflows, and enable our business users to focus on high-value strategic work. We work in a fast-paced, user-centric environment with rapid iteration cycles, close collaboration with business stakeholders, and a strong focus on measurable impact.In This Role, You'll Get to:Build and maintain microservices that power AI-driven analytics and automation workflowsDevelop APIs, web interfaces, and data pipelines that integrate business data with LLM-powered applicationsWork with modern web technologies (primarily Python, FastAPI, React, TypeScript) to build full-stack featuresIntegrate LLM APIs (OpenAI, Anthropic, or similar) to build intelligent features and automationCollaborate with senior engineers to design and implement new features based on user feedbackWrite clean, maintainable code with a focus on testing, documentation, and code qualityParticipate in code reviews and contribute to team best practicesWork with databases (PostgreSQL) to query, transform, and serve data to applicationsImplement monitoring and logging to ensure system reliability and performanceJoin user feedback sessions and shadowing to learn how business users workLearn and grow in a supportive environment with mentorship from senior team membersContribute to the full development lifecycle from design through deployment and maintenanceWhat You'll Need to Succeed:1–3 years of software engineering or data engineering experience (or strong internship/project experience for new grads)Strong programming skills in Python with understanding of modern development practices (experience with JavaScript/TypeScript is a plus)Experience building or consuming RESTful APIsBasic knowledge of databases and SQLEagerness to learn and adapt to new technologies and frameworksGood communication skills and ability to work collaboratively in a teamProblem-solving mindset and attention to detailAbility to take feedback and iterate on solutionsInterest in AI/ML applications and building user-facing productsIt's Great if You Have:Experience with modern Python web frameworks (FastAPI, Flask) and testing tools (pytest)Frontend development experience with React or TypeScriptExposure to LLM APIs (OpenAI, Anthropic) or prompt engineeringBackground working with business teams or building internal toolsKnowledge of Docker, Git, and collaborative development workflowsFamiliarity with PostgreSQL or other relational databasesPassion for building tools that improve user productivity and curiosity about GenAI applicationsWhy Join Us:Hands-on experience building production GenAI applications with real business impactStructured mentorship and growth – pair programming, weekly 1:1s, code reviews, and real features from day one (not just bug fixes)Rapid learning environment – exposure to LLMs, microservices, data pipelines, and production systemsUser-centric development – see your work directly impact how users work and get fast feedbackLearn modern production engineering skills that transfer across the industry: Python, FastAPI, React, PostgreSQL, Docker, Kubernetes, and LLM APIsCollaborative culture that values experimentation, learning, and continuous improvementDiscover More About Working At AgodaAgoda Careers https://careersatagoda.comFacebook https://www.facebook.com/agodacareers/LinkedIn https://www.linkedin.com/company/agodaYouTube https://www.youtube.com/agodalifeEqual Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.DisclaimerWe do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.