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.

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 & 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.
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.

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.

Conversational AI Engineer

Key skills