Description
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.
As a Staff Software Engineer, you will design, build and run GenAI services, agents and applications that solve practical problems for Agoda teams. You will own delivery end-to-end - from understanding user needs and selecting a technical approach, through testing, release and production support.
Responsibilities
- Design, build and run GenAI services, agents and applications that solve practical problems for Agoda teams.
- Own the delivery lifecycle: understand user needs, select a technical approach, and support testing, release and production operations.
- Improve AI quality, reliability, latency and cost using evaluations, monitoring and user feedback.
- Build reusable APIs, tools and integrations with appropriate access controls and data protection.
- Lead technical design discussions, make engineering decisions, and help other engineers improve their code and designs through constructive feedback.
Requirements
- At least 8 years of professional software-engineering experience, including delivering and operating complex production systems.
- At least 5 years of experience coding in one of the following modern programming languages: Python, Java, Kotlin, Scala, Go, C#, or TypeScript.
- Hands-on experience building GenAI applications, agents, platforms, or AI-agent-serving systems, with demonstrable examples of your contribution.
- Experience designing, testing and shipping reliable software through CI/CD, including debugging and resolving production issues.
- Demonstrable examples of AI problem solving and of owning cross-functional team projects.
- Ability to communicate effectively in English with stakeholders across international teams.
Nice to Have
- Experience with retrieval-augmented generation, tool calling, agent orchestration or automated AI evaluation.
- Experience evaluating agentic solutions.
- Depth in one area such as distributed systems, frontend and full-stack applications, data pipelines, developer tools or ML infrastructure.
- Experience with containers, Kubernetes, observability, privacy controls, or improving AI quality and operating costs.