Jobs at Serko Limited

Lead the architecture and technical vision for production-grade agentic AI applications. Design multi-agent orchestration, memory systems, reasoning pipelines, reliability infrastructure, observability, and high-availability distributed systems. Establish engineering standards, mentor senior engineers, conduct architecture reviews, support hiring, and collaborate with Product, Research, Platform, and AI Ops teams to scale LLM-powered workloads.

Build and ship customer-facing business travel features using React, Next.js, TypeScript, and C# APIs. Deliver accessible, responsive interfaces, own production deployment and support, contribute to testing, observability, agile ceremonies, technical decisions, code reviews, and team improvements. Partner with Product, Design, and Engineering to deliver measurable customer value while using AI agents responsibly.

Build and deploy customer-facing web features for Serko’s B4B corporate travel platform using React, Next.js, TypeScript, and C#. Develop accessible interfaces, BFF APIs, tests, monitoring, and infrastructure changes. Collaborate with Product, Design, and Engineering, lead small projects, participate in on-call support, and contribute to technical standards and team improvement.

Provides Level 1 technical and functional support for Serko.ai through phone and email, investigates and resolves client issues, manages escalations, documents solutions, and contributes to knowledge sharing. The role also supports product release testing, identifies workflow and product improvements, and develops strong platform expertise while maintaining a customer-focused experience for corporate travel and expense clients.

Build accessible, customer-focused web applications, backend-for-frontend services, and orchestration services using React, Next.js, TypeScript, and Python. Integrate reliable AI features, collaborate with Product, Design, and Engineering, lead smaller projects, conduct code reviews, deploy and monitor services, and improve product quality through testing, metrics, and observability.

Lead end-to-end delivery of AI-powered web experiences using React, Next.js, TypeScript, Python BFFs, and orchestration services. Partner with Product and Design to shape scope, build transparent AI features, improve accessibility, performance, security, and observability, and operate deployments on GCP. Mentor engineers, promote testing and agentic engineering practices, and own infrastructure, releases, and on-call support.

Build and maintain internal platforms and tooling for AI engineers, including React and Next.js dashboards, Python backend services, REST APIs, model deployment automation, observability integrations, and ML pipeline testing. Partner with engineering and ML teams to improve developer experience, production AI reliability, and self-service workflows while documenting systems and runbooks.

Develop end-to-end AI-powered applications, including React/Next.js interfaces, Python or Node.js backend services, APIs, and agentic workflows. Integrate LLM APIs and real-time streaming experiences, design scalable systems, write comprehensive tests, participate in code reviews and on-call support, and contribute to architecture. Collaborate with designers, product managers, and ML engineers to deliver customer-facing products.

Maintain operational effectiveness of systems and networks by installing, supporting, and customising systems software and firmware. Provide Level 3 ICT support, manage licenses (Slack, Google Suite), monitor core infrastructure, automate onboarding/offboarding, lead projects and continuous improvement, and support cross-geographical teams while ensuring security and timely issue resolution.

Lead end-to-end traveller experience design for an AI-first travel product. Define UX strategy, design and ship web and native mobile interfaces, scale design systems and accessibility, craft AI-augmented workflows, and collaborate cross-functionally to drive product outcomes while mentoring design craft.

Lead the technical vision and roadmap for the company's AI platform: design model-serving, feature stores, experiment tracking, CI/CD for ML, optimize GPU/compute, improve observability, ensure reliability, and mentor senior engineers to enable scalable, safe LLM inference in production.

Design, build, and optimize scalable batch and streaming data pipelines, manage Snowflake and BigQuery warehouses, create dbt data models, ensure data governance and observability, collaborate with architecture and security teams, write efficient SQL/Python/PowerShell, and participate in a light on-call rotation to deliver reliable data products.

Design, build, and optimize scalable batch and streaming data pipelines; manage Snowflake and BigQuery warehouses; develop dbt models; orchestrate workflows across Azure and Google Cloud; ensure data governance, observability, security, and high-quality data products; participate in a light on-call rotation.