hackajob is collaborating with loveholidays to connect them with exceptional professionals for this role. Why Technology at loveholidays? At loveholidays - we trailblaze together . We’re on a mission to open the world to everyone, giving our customers’ unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers’ personal holiday expert - the smart way to get away. Technology at loveholidays underpins our vision to become the global leader in packaged holidays. We drive cutting-edge innovation and technical excellence to futureproof the business. Our systems process trillions of daily holiday offers, we deploy over a thousand times a month, serving thousands of requests per second. This is where you can accelerate your growth by solving complex challenges and broadening your skillset. Join us to create impact for our future in an exciting new chapter, owning your success and contributing to shared goals. We actively talk about technology and adhere to our key technology principles that have guided us this far. We are growing and have ambitious plans to expand across Europe , employing the best minds and technology to let us do this. About the team: You will be joining our growing Conversational AI team, which sits at the heart of our ambition to deliver intelligent, seamless customer experiences at scale. The team builds and maintains the AI-powered agents and tooling that power interactions across our contact centre and digital channels – increasingly leveraging agentic architectures, large language models and the latest Google Cloud AI capabilities. This is a collaborative, fast-moving team where curiosity and a willingness to learn are valued as highly as technical skill. The impact you’ll have: Reporting to the Lead Conversational AI Engineer, you will play an important part in building and maintaining the conversational AI systems that help our customers find and manage their perfect getaway. As a level 1 engineer, you will be supported to develop your skills and grow your confidence, contributing to real solutions from day one whilst building a strong foundation in modern agentic AI technologies and engineering best practices. Your day-to-day: Build and maintain conversational AI agents using Google Dialogflow CX and Vertex AI Agent Builder, contributing to flows, fulfilment logic and agent configurations. Support the development of agentic workflows – learning how to design multi-step, tool-using agents that can reason and act across systems to resolve customer queries. Work with the Google Agent Development Kit (ADK) to assist in building, testing and iterating on agent capabilities under the guidance of more senior engineers. Analyse conversational data and real customer interaction patterns to understand how users engage with our agents, surfacing insights that inform improvements to the customer experience. Contribute to the testing and quality assurance of conversational flows and agentic pipelines, identifying and resolving errors or unexpected behaviour. Assist in the analysis of conversational data and performance metrics to support continuous improvement of the user experience. Collaborate with Conversation Designers, product managers and engineers to ensure technical implementations match the intended design and business goals. Participate in team ceremonies including stand-ups, retrospectives and planning sessions, communicating your progress and raising blockers clearly. Stay curious about developments in agentic AI, LLMs and the broader conversational AI landscape, sharing learnings with the team through show and tells or internal channels. Your skillset: We’re looking for someone who brings enthusiasm, a genuine interest in conversational and agentic AI technology, and the willingness to grow. You don’t need to have all the answers but you should be eager to find them. Conversational AI Core : Foundational understanding of conversational AI concepts - virtual agents (intents, entities, dialogue management, fulfillment) through to LLM-driven agentic approaches. Platform Exposure : Experience building virtual agents on conversational platforms (e.g., Google Dialogflow CX, Vertex AI Agent Builder, Amazon Lex, Rasa). Software Engineering : Strong programming proficiency in Python or TypeScript or other programming language, backed by solid software engineering and infrastructure development practices. Advanced LLM Orchestration : Experience designing LLM applications beyond basic APIs, including retrieval-augmented generation (RAG) pipelines, orchestration logic, and tool/agent workflows. API Integration : Strong awareness of REST APIs and webhooks to effectively connect AI agents with backend systems and external tools. Cloud
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