4 days ago
Bengaluru, IndiaSenior
Responsibilities
- Partner with product and engineering teams to assess existing applications, technical requirements, and modernization opportunities.
- Define target architectures and engineering approaches for migrating and modernizing applications onto Google Cloud.
- Design, develop, deploy, and operate generative AI applications and intelligent agent solutions using Gemini and Google Cloud technologies.
- Build reusable AI components, frameworks, patterns, and platform capabilities for enterprise use cases.
- Integrate intelligent agents with enterprise applications, APIs, data sources, software tools, business applications, and cloud services.
- Design secure connections between AI models and trusted enterprise information and services.
- Orchestrate workflows involving AI models, software tools, business applications, and cloud services.
- Evaluate solutions for feasibility, scalability, reliability, security, operational readiness, and cost.
- Apply software engineering practices including source control, automated testing, deployment automation, version management, and release processes.
- Implement security, identity and access management, monitoring, observability, and responsible AI practices.
- Evaluate and improve the quality, reliability, and technical performance of AI and agent-based solutions.
- Convert business requirements, experiments, and prototypes into secure, scalable, reliable, production-ready solutions.
- Create technical documentation, implementation guidance, and engineering standards for other teams.
- Support experimentation and proof-of-concept development while establishing paths to production and scale.
Requirements
- Strong software engineering experience designing, developing, and productionizing cloud-based applications.
- Hands-on experience designing, developing, and deploying solutions on Google Cloud.
- Strong understanding of the software development lifecycle, including design, development, testing, deployment, monitoring, and production operations.
- Experience developing generative AI or large language model applications.
- Understanding of intelligent agent concepts including tool use, orchestration, grounding, and context management.
- Experience with cloud-native application architectures, APIs, and integration patterns.
- Experience with source control, automated testing, continuous integration, and automated deployment.
- Ability to assess application architectures and define migration and modernization approaches for Google Cloud.
- Ability to translate business and technical requirements into practical engineering solutions while working with product, architecture, and engineering teams.
- Preferred experience with Google Gemini and Vertex AI.
- Preferred experience developing cloud or AI solutions using Python.
- Preferred experience with Google technologies and frameworks for building intelligent agents.
- Preferred experience with retrieval-augmented generation, embeddings, semantic retrieval, and vector search.
- Preferred experience with AI evaluation, monitoring, observability, responsible AI controls, reusable AI components, application migration, and modernization on Google Cloud.
- Preferred experience with containers, serverless architectures, enterprise application integration, APIs, global cross-functional teams, and external technology or delivery partners.
Benefits
- Full-time, permanent position based in Bangalore, India.
- Global scope with collaboration across product teams, architects, platform teams, engineering partners, and external delivery partners.
- Applicants must have the right to work in India.
- Unilever states that it is an equal opportunity employer and supports inclusion, employee growth, and development.
Tech Stack
Google CloudPython
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.