Experience:

• 5-12 years building production backend systems in Java
• 1-2+ years hands-on building LLM-powered or agentic systems in production

Qualification:

• Bachelor's degree in Computer Science or Engineering or equivalent practical experience
• Master's degree in Computer Science or Engineering or equivalent practical experience

Responsibilities:

• Own architecture and delivery of agentic AI backends in Java and Spring Boot
• Integrate with foundation model providers and build provider-agnostic abstractions
• Design and implement Model Context Protocol servers and tool wrappers
• Engineer agent runtime end-to-end including context and prompt engineering, tool selection, guardrails, rate limiting, cost controls, retries, idempotency, and tracing
• Define and run evaluation strategies including offline eval suites, online A/B tests, regression catches, and human-in-the-loop review
• Lead and mentor a pod of backend engineers including design reviews, setting coding standards, and driving code reviews
• Collaborate with frontend, data, infra, and hospitality-domain experts to ship end-to-end agent experiences
• Track evolving agentic ecosystem and translate into pragmatic engineering choices
• Keep ticketing system updated with estimations, progress, blockers, and due dates
• Champion engineering best practices including secure-by-default design, automated testing, CI/CD, observability, and clean software architecture

Additional responsibilities:

• Raise risks early and clearly
• Partner with product on the agentic roadmap

Nice to have:

• Hospitality, travel, or booking-platform experience
• Familiarity with PMS, channel managers, or revenue management

More skills:

Java, Spring Boot, Hibernate/JPA, REST, microservices, LLM-powered systems, agentic systems, tool/function calling, planners, multi-agent orchestration, foundation model APIs, Model Context Protocol (MCP), observability, cloud platforms, AWS, GCP, Azure, containers, Docker, Kubernetes, event-driven architectures, message brokers, Kafka, RabbitMQ

Other:

• Strong sense of ownership and commitment to engineering excellence
• Sound logical, analytical, and problem-solving skills
• Excellent communication skills to influence engineers, product, and senior stakeholders
• Work in a team that shares energy and enthusiasm for creating the best customer experience