TL;DR

Senior AI/ML Consulting Engineer (AI): Developing intelligent conversational agents leveraging Vertex AI Agent Builder, large language models (LLMs), and retrieval-augmented generation (RAG). Focus on optimizing performance, scalability, and reliability of conversational agents and applying prompt-engineering best practices.

Location: England

Company

%hirify_global% is looking for a Google Cloud AI Engineer who is passionate about generative AI and experienced in building intelligent conversational agents.

What you will do

Design, develop, and implement intelligent conversational agents using Vertex AI Agent Builder.
Integrate Google Cloud and third-party LLMs to enhance natural language understanding and response generation.
Implement RAG techniques to connect conversational agents with external data sources and deliver accurate, contextual responses.
Use LangChain and LangGraph to build complex conversational flows and orchestrate interactions between AI components.
Optimize performance, scalability, and reliability of conversational agents on Google Cloud.

Requirements

Practical experience developing conversational agents or chatbots.
Solid understanding of generative AI concepts, including LLMs, RAG, and dialogue models.
Experience with Vertex AI Agent Builder, Dialogflow, or similar platforms.
Familiarity with frameworks such as LangChain and LangGraph.
Strong Python programming skills.
English: C1+ required

Nice to have

Experience with Google Cloud Platform and its AI services.
Knowledge of natural language processing (NLP) techniques.
Experience developing applications with Google LLMs (e.g. PaLM).
Google Cloud certifications.
Contributions to open-source projects related to generative AI or conversational agents.