Procter & Gamble

Junior Gen AI Engineer building generative-AI applications, APIs, and integrations that improve warehouse, distribution, and logistics operations. The role combines Python development, agentic AI, prompt engineering, deployment, and collaboration with business stakeholders.

Hands-on Full-Stack Developer building reusable frontend, backend, API, and cloud capabilities with React and Google Cloud Platform. The role owns software delivery from technical design through deployment, production support, and continuous improvement.

Hands-on Full-Stack Developer building React- and GCP-based applications, reusable foundational modules, and production-ready software across the full lifecycle. The role combines direct development with code review, technical oversight, and continuous improvement.

Senior Salesforce Developer responsible for building and enhancing a global Health Care CRM platform used by sales, brand, and marketing teams. The role combines hands-on Apex and LWC development with architecture, integrations, CI/CD, monitoring, and technical quality practices.

DevOps Engineer responsible for building and optimizing cloud infrastructure, CI/CD pipelines, and containerized application platforms. The role focuses on Terraform, Azure, Docker, Kubernetes, automation, monitoring, and platform reliability for global projects.

Solution Architect responsible for shaping and delivering architecture across P&G’s Europe Transportation Ecosystem, with a strong focus on data, enterprise integration, and generative or agentic AI solutions. The role combines strategic architecture leadership with hands-on data modeling, prototyping, and solution delivery.

Own the reliability and security of P&G’s global email defense and mail-routing platform. The role combines email security engineering, SRE/SecRE practices, SOAR automation, scripting, and adaptive threat protection.

Join P&G’s R&D team as a PhD summer intern building AI agents and deploying deep learning models to improve research workflows and innovation. This paid, 12-week, in-office internship offers hands-on experience with LLMs, Python, and AI applications.