Senior Full-stack Engineer (Java, AI-native)

HRS AS A COMPANY

HRS is a global technology company transforming how businesses manage lodging and meetings through AI-driven, data-centric solutions. With more than 50 years of experience, HRS serves global enterprises, hotel partners, and business travelers through Lodging-as-a-Service, Meeting-as-a-Service, and Workforce-as-a-Service offerings.

BUSINESS UNIT

The Search & Book unit at HRS plays a pivotal role in delivering innovative solutions through HRS Connect, the company's flagship product within the expansive global corporate travel management market. HRS Connect specifically targets the rapidly growing and significantly underserved segments of corporate lodging, meetings, groups, and long stays. The unit develops, enhances, and maintains complex technology solutions that seamlessly integrate hotel distribution systems, Property Management Systems (PMS), Online Travel Agencies (OTA), and Hotel Chain systems into the HRS Connect platform. Leveraging robust connectivity, innovative technology, and data-driven insights, the unit ensures seamless connectivity, optimized travel spend, enhanced traveler experiences, and high-performance booking solutions for global enterprise customers.

POSITION

- A Senior Fullstack Engineer (AI-Native) builds production-grade applications and intelligent workflows with an AI-first mindset across the full software development lifecycle. This role is for an engineer who does not treat AI as an add-on, but as a core way of working across design, implementation, testing, documentation, debugging, and delivery. - The ideal candidate consistently approaches work by asking whether a task can be completed entirely with AI or materially improved through AI-assisted execution, while still applying strong engineering judgment and quality controls.

CHALLENGE

- Full-Stack Engineering: Design, build, and maintain scalable applications using Java (backend). - AI-Native Product Development: Integrate GenAI APIs and LLM-powered capabilities into core product workflows. Build agentic flows, tool-using systems, and AI workflow automations with clear guardrails and observability. - AI-Native Engineering Practice: Apply AI-assisted workflows across the full SDLC - from design and implementation to testing, debugging, and documentation. Review and validate AI-generated outputs for correctness, security, and production readiness. - Technical Leadership: Drive architectural decisions, mentor engineers, and champion AI-native engineering practices across the team.

FOR THIS EXCITING MISSION YOU ARE EQUIPPED WITH...