At a Glance
- Tasks: Build and maintain AI-powered agents for seamless customer experiences.
- Company: Join loveholidays, a leader in innovative travel technology.
- Benefits: Enjoy competitive salary, training budget, and discounted holidays.
- Other info: Dynamic team environment with excellent career growth opportunities.
- Why this job: Make a real impact in the exciting world of conversational AI.
- Qualifications: Passion for AI, programming skills in Python or TypeScript, and eagerness to learn.
The predicted salary is between 70000 - 90000 £ per year.
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. Our systems process trillions of daily holiday offers, we deploy over a thousand times a month, serving thousands of requests per second. 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.
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.
- Build and maintain conversational AI agents using Google Dialogflow CX and Vertex AI Agent Builder, contributing to flows, fulfilment logic and agent configurations.
- 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.
We’re looking for someone who brings enthusiasm, a genuine interest in conversational and agentic AI technology, and the willingness to grow.
- Conversational AI Core: Foundational understanding of conversational AI concepts - virtual agents (intents, entities, dialogue management, fulfillment) through to LLM-driven agentic approaches.
- 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.
- Strong awareness of REST APIs and webhooks to effectively connect AI agents with backend systems and external tools.
- Cloud & DevOps: Familiarity with cloud deployment environments (preferably Google Cloud Platform) and CI/CD practices for AI workflows.
- Practical familiarity with vector databases, hybrid search techniques, and advanced chunking strategies for optimizing RAG systems.
- Knowledge of or previous experience within the travel sector or fast-paced B2C e-commerce environments.
- Familiarity with version control tools (Git) and working effectively within an agile team environment.
1st stage video interview with Lead Conversational AI Engineer - 1 hour. Final stage with Director of Business IT & AI Operations and senior stakeholders - 1 hour.
Company pension contributions at 5%. Individualised training budget for you to learn on the job and level yourself up. Discounted holidays for you, your family and friends. 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum. Ability to buy and sell annual leave. Cycle to work scheme, season ticket loan and eye care vouchers.
Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams.
