Full Stack Google AI Engineer

Job Title: Full Stack Google AI Engineer

Work Level: 2A

JOB PURPOSE

We are looking for a Full Stack Google Artificial Intelligence Engineer to help build and scale enterprise artificial intelligence solutions on Google Cloud.

In this role, you will combine strong software engineering skills with modern artificial intelligence technologies to develop secure, scalable and production-ready applications. You will work across the application stack, from backend services and application programming interfaces to user-facing experiences and integrations with Google artificial intelligence services.

You will also help strengthen our in-house engineering capability by creating reusable components, patterns and standards that make it easier for teams to build and deploy artificial intelligence solutions consistently.

You will work closely with engineers, architects, platform specialists and product teams, giving you the opportunity to develop both your technical expertise and your experience delivering technology that solves real business problems.

Because here, we don’t just hire for jobs. We invite you to be part of something bigger.

KEY RESPONSIBILITIES

• Design and develop end-to-end artificial intelligence-enabled applications on Google Cloud.
• Build backend services, application programming interfaces and user-facing application components.
• Integrate applications with Google artificial intelligence technologies, including Vertex AI and Gemini models.
• Turn business and product requirements into practical, production-ready technical solutions.
• Build reusable components, templates and engineering patterns that can be adopted across multiple products and use cases.
• Develop applications with security, scalability, reliability, maintainability and observability in mind.
• Apply modern software engineering practices, including automated testing, continuous integration and continuous delivery.
• Work collaboratively with product teams, solution architects, artificial intelligence engineers and cloud platform teams.
• Diagnose and resolve application, integration and performance issues across the solution.
• Contribute to technical documentation, coding standards, code reviews and engineering best practices.
• Share knowledge with other engineers and contribute to the continued growth of our Google Cloud and artificial intelligence engineering capability

REQUIRED QUALIFICATIONS

• Hands-on software engineering experience using languages such as Java, JavaScript, TypeScript or similar modern programming languages.
• Experience designing and building full-stack applications and web-based application programming interfaces.
• Practical experience developing solutions on Google Cloud.
• Experience developing applications using container-based or serverless architectures.
• A good understanding of generative artificial intelligence and large language model application development.
• Experience integrating artificial intelligence or machine learning capabilities into applications.
• Experience with source control, automated testing and continuous integration and delivery practices.
• A good understanding of cloud-native application architecture and modern software development practices.
• Strong problem-solving skills and the ability to collaborate effectively with both technical teams and product stakeholders.

PREFERRED QUALIFICATIONS

• Experience working with Vertex AI or Gemini models.
• Experience with Google Cloud services such as Cloud Run, Cloud Functions, identity and access management, and application programming interface management.
• Python development experience, particularly for artificial intelligence or cloud-based applications.
• Experience building enterprise generative artificial intelligence applications using techniques such as retrieval-augmented generation, where artificial intelligence models use trusted enterprise information to improve their responses.
• Exposure to artificial intelligence agents or multi-step artificial intelligence applications that can use tools, data and services to complete tasks.
• Experience creating reusable software frameworks, shared engineering components or development accelerators.

At Unilever, inclusion is at the heart of everything we do. We welcome applicants from all walks of life and are committed to creating an environment where everyone can thrive/succeed. All applicants will receive fair and respectful consideration, and we actively support the growth and development of every employee.

Unilever is an Equal Opportunity Employer/Protected Veterans/Persons with Disabilities.

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