Google Cloud Platform (GCP) Generative AI Engineer

Role: Google Cloud Platform (GCP) Generative AI Engineer

Location: Hybrid Working

Rate: Up to £750 per day (Inside IR35) dep on exp

Length: 6 months+

Consultant: Allison Gillson, email (see below)

Our client, an advisory business, is seeking a Generative AI Engineer proficient in building and deploying full-stack AI solutions on the Google Cloud Platform.

The ideal candidate will possess deep expertise in Python, utilizing frameworks such as FastAPI or Flask to create robust Back End services, and libraries like LangChain or LlamaIndex to construct sophisticated RAG and agent-based systems.

You must have hands-on experience with GCP, particularly Vertex AI (for leveraging Gemini models and Vector Search), Cloud Run for serverless deployment, and BigQuery for data management.

On the Front End, you will be responsible for developing intuitive user interfaces using React, ensuring seamless integration with the Back End APIs.

A strong understanding of containerization with Docker and implementing CI/CD pipelines within the GCP ecosystem is essential for this role.

Tools:

• Vertex AI (Model Garden, Gemini API, Vector Search), Cloud Run, Cloud Functions, BigQuery, Docker, Git, CI/CD pipelines (eg, Cloud Build), VS Code, Jira, Playwright, pytest

Skills:

• Full stack (Python, React), Gen AI scalled solution, RAG, GraphRAG, Agentic AI

Languages:

• Python: LangChain, LlamaIndex, FastAPI/Flask. JavaScript: React.

Educational Background:

• BSc in Computer Science, Statistics, Engineering, or related field
• Advanced certifications in AI/ML, cloud computing, or data engineering are advantageous