Full Stack Google AI Engineer
Unilever (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 12–20 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design and develop end-to-end AI-enabled applications on Google Cloud including backend services, APIs, and user-facing components.
- Integrate applications with Google AI technologies such as Vertex AI and Gemini models, ensuring security, scalability, reliability, and maintainability.
- Create reusable components, templates, and engineering patterns to standardize AI solution development across teams.
Minimum Requirements
- Hands-on experience with full-stack software engineering using Java, JavaScript, TypeScript, or similar languages.
- Practical experience building applications on Google Cloud, including container-based or serverless architectures.
- Experience integrating AI or machine learning capabilities into applications and understanding generative AI and large language models.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in designing cloud-native, scalable enterprise applications with modern software engineering practices including CI/CD and automated testing.
- Familiarity with Google Cloud services like Cloud Run, Cloud Functions, IAM, API management, and AI platforms like Vertex AI or Gemini models is a strong plus.
- Capable of collaborating across product teams, architects, and engineers to translate business requirements into production-ready AI solutions and reusable engineering assets.