At a Glance
- Tasks: Build and maintain conversational AI agents using Google Dialogflow CX and Vertex AI Agent Builder.
- Company: Join loveholidays, a company dedicated to making travel accessible and seamless for everyone.
- Benefits: Enjoy 25 days of holidays plus 8 public holidays and a company pension contribution of 5%.
- Other info: Work within an agile team environment and participate in team ceremonies.
- Why this job: Contribute to innovative AI solutions that enhance customer experiences in the travel sector.
- Qualifications: Experience with Google Dialogflow CX and strong programming skills in Python or TypeScript required.
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 employer: hackajob
Located in the heart of the travel industry, loveholidays offers discounted holidays for employees and their families. The Conversational AI team is focused on delivering intelligent customer experiences using cutting-edge AI technologies. Join a diverse team that values personal growth and collective success.
