22 hours ago
Bengaluru, IndiaMid Level
Responsibilities
- Design and develop end-to-end artificial intelligence applications on Google Cloud.
- Build backend services, application programming interfaces, and user-facing application components.
- Integrate applications with Vertex AI, Gemini models, and other Google artificial intelligence technologies.
- Translate business and product requirements into production-ready technical solutions.
- Create reusable components, templates, frameworks, and engineering patterns for multiple products and use cases.
- Develop applications with security, scalability, reliability, maintainability, and observability in mind.
- Diagnose and resolve application, integration, and performance issues.
- Contribute to automated testing, continuous integration and delivery, technical documentation, coding standards, code reviews, and engineering best practices.
- Collaborate with product teams, solution architects, artificial intelligence engineers, and cloud platform teams.
- Share knowledge and help grow the organization’s Google Cloud and artificial intelligence engineering capabilities.
Requirements
- Hands-on software engineering experience with 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 with container-based or serverless architectures.
- 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.
- Understanding of cloud-native application architecture and modern software development practices.
- Strong problem-solving and collaboration skills with technical teams and product stakeholders.
- Preferred: experience with Vertex AI or Gemini models.
- Preferred: experience with Google Cloud services such as Cloud Run, Cloud Functions, identity and access management, and application programming interface management.
- Preferred: Python development experience for artificial intelligence or cloud-based applications.
- Preferred: experience with enterprise generative artificial intelligence applications using retrieval-augmented generation.
- Preferred: exposure to artificial intelligence agents or multi-step artificial intelligence applications.
- Preferred: experience creating reusable software frameworks, shared engineering components, or development accelerators.
Benefits
- Equal opportunity employer committed to inclusion and fair, respectful consideration.
- Support for employee growth and development.
Tech Stack
Categories
About Unilever
Unilever is a public consumer-goods manufacturer that develops and markets branded food, home-care, and personal-care products for mass-market consumers worldwide. Its portfolio includes brands such as Dove, Rexona, Domestos, Hellmann’s, Knorr, and Ben & Jerry’s, sold through retailers and e-commerce. Founded in 1872 and headquartered in London’s Blackfriars, it operates across about 190 countries and is listed on the London Stock Exchange.