Gemini Agent Platform AI Engineer
Unilever (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 18–35 LPA
Posted 11h ago
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Job description
Structured overview of role & requirements
About This Role
- Own engineering of Gemini/Google Cloud AI applications and intelligent agents from discovery and design through deployment, monitoring and improvement.
- Help teams migrate or modernize applications on Google Cloud; build secure integrations with enterprise applications, APIs and data sources.
- Create reusable components and patterns, and take prototypes into scalable, reliable production solutions.
Minimum Requirements
- Work Experience Required: Strong software engineering experience; number of years is not explicitly mentioned in the JD.
- Hands-on experience designing, developing and deploying solutions on Google Cloud, with cloud application and API integration experience.
- Experience developing generative AI or LLM applications; understanding of agent concepts including tool use, orchestration, grounding and context management.
- Applicants must have the right to work in India.
Ideal Candidate Profile
- Has experience taking cloud or AI prototypes through production, including testing, deployment, monitoring, security and operational readiness.
- Can assess existing application architectures and turn product or technical needs into practical Google Cloud migration and modernization approaches.
- Particularly strong fit with preferred experience in Gemini/Vertex AI, Python, RAG and vector search, agent frameworks, or reusable AI platform components.