AI Engineer, GCP

Onepoint

. Work across the entire project lifecycle, from consulting through coding .

Posted 10/9/2026full-timeToulouse • FranceMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying generative AI solutions within the Google Cloud Platform, utilizing Python and various AI technologies. Capable of integrating AI models with existing systems while ensuring performance, security, and cost management.

Highest-signal resume keywords

Google Cloud Platform (GCP)Python DevelopmentGenerative AI SolutionsRetrieval-Augmented Generation (RAG)Vertex AI

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentData EngineeringMachine LearningAI Model IntegrationCloud ServicesAPI DevelopmentCI/CD Best PracticesAutomated TestingWorkflow OrchestrationModel Deployment

Soft Skills

Stakeholder CommunicationCollaborationAnalytical ThinkingProblem Solving

Tools & Technologies

Vertex AIGeminiBigQueryCloud RunLangChainLlamaIndexKubernetes (GKE)Cloud FunctionsCloud MonitoringMLflow

Certifications & Qualifications

Google Professional Cloud ArchitectProfessional Machine Learning Engineer

Industry Keywords

Generative AIAI AgentsRAG ArchitecturesData GovernanceCloud-Native Architectures

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformKubernetesPythonTypeScript

About the role

Key responsibilities & impact

Work across the entire project lifecycle, from consulting through coding
Analyze business needs and design suitable generative AI solutions, including RAG, AI agents, prompt optimization, and model specialization
Leverage services across the Google Cloud ecosystem
Develop robust applications in Python
Integrate AI models with existing systems through APIs, data pipelines, and cloud services
Transform experiments into production-ready solutions
Deploy generative AI solutions to production on Google Cloud
Ensure performance, scalability, security, observability, and cost control
Explain technical concepts clearly to stakeholders
Support business and IT teams in adopting generative AI use cases
Design, develop, and industrialize generative AI solutions in a Google Cloud Platform environment
Participate in recruitment discussions and project presentations in accordance with the Onepoint process

Requirements

What you’ll need

At least 3 to 8 years of experience in software development, data engineering, machine learning, or generative AI
Significant experience with Google Cloud Platform (GCP), including implementing production solutions
Experience with Vertex AI, Gemini, BigQuery, Cloud Run, and GCP cloud-native architectures
Experience designing Retrieval-Augmented Generation (RAG) solutions, AI agents, and LLM-based applications
Strong understanding of security, governance, and cost-management considerations in cloud environments
Excellent command of Python and development best practices (Clean Code, Git, CI/CD, automated testing, and code reviews)
Experience designing LLM-based solutions
Experience orchestrating workflows with LangChain or LlamaIndex
Experience using Vertex AI, Gemini, Model Garden, and Vertex AI Agent Builder
Expertise in RAG architectures and related services such as BigQuery, Cloud Storage, AlloyDB, Vertex AI Vector Search, or other vector databases
Expertise in key Google Cloud services: Cloud Run, GKE (Kubernetes), Vertex AI, Pub/Sub, Cloud Functions, IAM, and Cloud Monitoring
Experience implementing model deployment, evaluation, and monitoring pipelines with Vertex AI Pipelines, Vertex AI Evaluation, Model Monitoring, MLflow, or LangSmith
Experience integrating security mechanisms, data governance, and controls for AI usage
Google Professional Cloud Architect, Professional Machine Learning Engineer, or equivalent certification is a plus
Experience with Vertex AI Agent Builder and multi-agent architectures is a plus
Contributions to generative AI projects deployed in production are a plus
Knowledge of Kubernetes environments (GKE) is a plus

Benefits

Comp & perks

Live community sessions to bring people together
Regular events and activities to share and celebrate
Sports activities to stay active and energized together
A culture of sharing, innovation, and continuous learning
Tailored career paths for all talent
More than 200 courses through the Onepoint Academy
A flexible working environment supported by a remote-work policy
Leisure and sports activities (music, photography, e-sports, yoga, and more)
Open-access medical clinic
Working groups dedicated to equality and inclusion
Opportunities to participate in community activities and group events