Senior Analyst, Supply GenAI at Agoda

Bangkok, , Thailand -

Full Time

Start Date

Immediate

Expiry Date

22 Jan, 26

Salary

0.0

Posted On

24 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Node.js, FastAPI, React, API Design, LLM Integration, SQL, Problem-Solving, Communication, Code Quality, CI/CD, Cloud Platforms, Microservices, Agile, AI/ML Applications

Industry

Software Development

Description

About Agoda Agoda 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 Team Agoda'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: Design and build scalable microservices that power AI-driven analytics and automation workflows, serving business users across 20+ countries Develop full-stack applications using modern frameworks (FastAPI, Node.js, React) with a focus on reliability, observability, and performance Build data-to-LLM pipelines that transform complex business data (performance metrics, operational data, external APIs) into formats optimized for LLM consumption and reasoning Create RESTful APIs and web interfaces that integrate LLM capabilities into production systems, including prompt engineering, streaming responses, multi-model orchestration, and structured output generation Collaborate with business and analytics teams to understand user workflows, gather requirements, and iterate on features based on real-world feedback Own the full lifecycle of services from design through deployment, monitoring, and continuous improvement Implement observability and monitoring using modern tooling (OpenTelemetry, structured logging, health checks) to ensure system reliability Drive technical decisions around architecture, data modeling, API design, and integration patterns Mentor junior engineers and contribute to team best practices, code quality standards, and knowledge sharing Work embedded with cross-functional teams (product, operations, analytics) to deliver end-to-end solutions that drive measurable business outcomes What You'll Need to Succeed: 5+ years of software engineering or data engineering experience with a track record of building and shipping production systems Strong backend development skills in Python (required) or Node.js with experience in modern frameworks (FastAPI, Express, or similar) Solid understanding of API design and RESTful principles, including authentication, error handling, and versioning Experience integrating LLMs into production applications (OpenAI, Anthropic, or similar APIs) Hands-on experience with context engineering, structured output generation, and LLM evaluation Experience with relational databases (PostgreSQL preferred) and writing efficient SQL queries Strong problem-solving skills and ability to navigate ambiguity in a fast-moving environment Excellent communication skills and ability to collaborate effectively with non-technical stakeholders Commitment to code quality, testing, and maintainable software design Self-starter mindset with ability to take ownership and drive projects from concept to production It's Great if You Have: Full-stack development experience with React, TypeScript, or modern frontend frameworks Background working embedded in business teams or building tools for non-technical users Knowledge of containerization and orchestration (Docker, Kubernetes) Familiarity with observability tools (OpenTelemetry, Prometheus, Grafana, or similar) Experience with data pipelines and transforming complex datasets for downstream consumption Understanding of CI/CD practices and automated deployment workflows Experience with cloud platforms and microservices architecture Background in analytics, business intelligence, or data engineering Experience working in agile, user-centric product development environments Passion for AI/ML applications and interest in the practical challenges of deploying GenAI at scale Why Join Us: Work on cutting-edge GenAI applications with real business impact and measurable outcomes Rapid iteration cycles with direct user feedback and close collaboration with business stakeholders Ownership and autonomy – drive technical decisions and shape the architecture of new systems Learn and grow in a fast-evolving space at the intersection of AI, data, and product development Collaborative, pragmatic culture that values experimentation, learning from failure, and continuous improvement Discover more about working at Agoda Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/ LinkedIn https://www.linkedin.com/company/agoda YouTube https://www.youtube.com/agodalife Equal 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. Disclaimer We 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.

Responsibilities

Design and build scalable microservices for AI-driven analytics and automation workflows. Collaborate with business and analytics teams to understand user workflows and iterate on features based on feedback.