At a Glance
- Tasks: Build and maintain AI agents for seamless customer experiences in the travel industry.
- Company: Join loveholidays, a trailblazer in the holiday tech space.
- Benefits: Enjoy competitive pay, training budgets, and discounted holidays for you and your loved ones.
- Other info: Be part of a diverse team that values personal growth and innovation.
- Why this job: Make a real impact with cutting-edge AI technology while growing your skills.
- Qualifications: Enthusiasm for AI, programming skills, and a willingness to learn are key.
The predicted salary is between 30000 - 40000 £ per year.
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 future-proof the business. Our systems process trillions of daily holiday offers, deploying 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.
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.
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.
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.
Familiarity with cloud deployment environments (preferably Google Cloud Platform) and CI/CD practices for AI workflows.
Desirable: Experience with the Google Agent Development Kit (ADK), LangChain, or similar multi-agent orchestration frameworks. 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.
The interview journey includes TA screening, a 1st stage video interview with the Lead Conversational AI Engineer, a take-home engineering task, and a final stage with the Director of Business IT & AI Operations and senior stakeholders.
Perks of joining us include company pension contributions at 5%, an individualised training budget, discounted holidays for you, your family and friends, 25 days of holidays per annum (plus 8 public holidays), the ability to buy and sell annual leave, and a cycle to work scheme, season ticket loan and eye care vouchers.
At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey.
Conversational AI Engineer — Grow with Agentic AI at Scale in London employer: loveholidays
At loveholidays, we are committed to fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Conversational AI Engineer, you will have access to individualised training budgets, generous holiday allowances, and the opportunity to work with cutting-edge technology in a collaborative environment. Join us in shaping the future of travel while enjoying discounted holidays and a supportive team that values your growth and contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Conversational AI Engineer — Grow with Agentic AI at Scale in London
✨Tip Number 1
Get to know the company! Research loveholidays and their tech culture. Understanding their mission and values will help you tailor your conversations during interviews and show that you're genuinely interested in being part of their team.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. This can give you insider info about the company and might even lead to a referral, which can boost your chances of landing that interview.
✨Tip Number 3
Prepare for technical challenges! Brush up on your coding skills and be ready to tackle practical tasks related to conversational AI. Practice common algorithms and frameworks that loveholidays uses, so you can impress them with your knowledge.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in their minds as they make their decision. Plus, it’s a great chance to reiterate why you’re a perfect fit!
We think you need these skills to ace Conversational AI Engineer — Grow with Agentic AI at Scale in London
Some tips for your application 🫡
Show Your Passion:Let us see your enthusiasm for conversational AI! Share any projects or experiences that highlight your interest in the field. We love candidates who are genuinely excited about technology and eager to learn.
Tailor Your Application:Make sure to customise your CV and cover letter to match the job description. Highlight relevant skills and experiences that align with what we’re looking for, especially in conversational AI and software engineering.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless necessary. We appreciate a well-structured application that’s easy to read and gets straight to the point.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it helps us keep everything organised!
How to prepare for a job interview at loveholidays
✨Know Your Conversational AI Basics
Before the interview, brush up on your foundational understanding of conversational AI concepts. Be ready to discuss virtual agents, intents, entities, and dialogue management. This will show your enthusiasm and genuine interest in the field.
✨Showcase Your Technical Skills
Prepare to demonstrate your programming proficiency, especially in Python or TypeScript. Bring examples of projects you've worked on, particularly those involving Google Dialogflow CX or Vertex AI. This will help you stand out as a candidate who can hit the ground running.
✨Engage with Real-World Applications
Familiarise yourself with how conversational AI is applied in the travel sector or B2C e-commerce. Think of specific examples where AI has improved customer experiences. This will help you connect your skills to loveholidays' mission and show that you're a good fit for their team.
✨Ask Insightful Questions
During the interview, don’t hesitate to ask questions about the team’s current projects or challenges they face. This shows your curiosity and willingness to learn, which are highly valued traits in their fast-moving environment.
