At a Glance
- Tasks: Build and maintain AI-powered agents to enhance customer holiday experiences.
- Company: Join loveholidays, a leader in making travel accessible for everyone.
- Benefits: Enjoy competitive perks like discounted holidays, training budgets, and generous leave.
- Other info: Be part of an inclusive culture that values personal growth and diverse perspectives.
- Why this job: Make a real impact in the travel industry with cutting-edge conversational AI technology.
- Qualifications: Passion for AI, programming skills in Python or TypeScript, and eagerness to learn.
The predicted salary is between 70000 - 90000 £ per year.
We are looking for a Level 1 Conversational AI Engineer to join our growing team at loveholidays, a company on a mission to make travel accessible and seamless for everyone. You will work on AI-powered agents that help customers find and manage their perfect getaway.
About The Team
The Conversational AI team sits at the heart of our ambition to deliver intelligent, seamless customer experiences at scale. The team builds and maintains AI-powered agents and tooling across our contact centre and digital channels, leveraging agentic architectures, large language models, and the latest Google Cloud AI capabilities.
The Impact You’ll Have
Reporting to the Lead Conversational AI Engineer, you will help build and maintain the conversational AI systems that enable customers to find and manage their ideal holiday. You’ll develop real solutions from day one while 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 – 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 guidance of senior engineers.
- Analyse conversational data and real customer interaction patterns to understand how users engage with agents and surface insights to improve the experience.
- Contribute to testing and quality assurance of conversational flows and agentic pipelines, identifying and resolving errors or unexpected behaviour.
- Assist in analysing performance metrics to support continuous improvement of the user experience.
- Collaborate with Conversation Designers, product managers and engineers to ensure technical implementations match design and business goals.
- Participate in team ceremonies, including stand‑ups, retrospectives and planning sessions, communicating progress and raising blockers clearly.
- Stay curious about developments in agentic AI, LLMs and the broader conversational AI landscape, sharing learnings with the team.
Your Skillset
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 AI concepts – virtual agents, intents, entities, dialogue management, fulfillment and LLM‑driven agentic approaches.
- Platform Exposure: experience building virtual agents on conversational platforms such as Google Dialogflow CX, Vertex AI Agent Builder, Amazon Lex or Rasa.
- Software Engineering: strong programming proficiency in Python or TypeScript (or another language) with solid software engineering and infrastructure development practices.
- Advanced LLM Orchestration: experience designing LLM applications beyond basic APIs, including RAG pipelines, orchestration logic and tool/agent workflows.
- API Integration: awareness of REST APIs and webhooks to 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.
Desirable
- Experience with the Google Agent Development Kit (ADK), LangChain or similar multi‑agent orchestration frameworks.
- Familiarity with vector databases, hybrid search techniques and advanced chunking strategies for optimizing RAG systems.
- Knowledge of or previous experience in the travel sector or fast‑paced B2C e‑commerce environments.
- Familiarity with Git and working effectively within an agile team environment.
The Interview Journey
- TA screening – 30 minutes
- First stage video interview with the Lead Conversational AI Engineer – 1 hour
- Take‑home engineering task
- Final stage with the Director of Business IT & AI Operations and senior stakeholders – 1 hour
Perks Of Joining Us
- Company pension contributions at 5%.
- Individualised training budget.
- Discounted holidays for you, your family and friends.
- 25 days of holidays per annum (plus 8 public holidays). Additional days accrue every second year, up to a maximum of 30 days.
- Ability to buy and sell annual leave.
- Cycle‑to‑work scheme, season‑ticket loan and eye‑care vouchers.
At loveholidays, we focus on developing an inclusive culture that encourages personal growth and collective success. Each individual offers unique perspectives that increase the diversity and effectiveness of our teams.
Conversational AI Engineer in London employer: hackajob
At loveholidays, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration within our Conversational AI team. With a strong focus on employee growth, we provide individualised training budgets, generous holiday allowances, and unique perks like discounted holidays for you and your loved ones, all while working in a dynamic environment that embraces diversity and encourages personal development.
StudySmarter Expert Advice🤫
We think this is how you could land Conversational AI Engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at hackajob or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to hackajob.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like hackajob.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like hackajob that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Conversational AI Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at hackajob.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at hackajob and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at hackajob
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If hackajob uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
