{"id":4062544,"url":"https://alion.io/job/unilever-full-stack-google-ai-engineer","title":"Full Stack Google AI Engineer","company":{"id":4977,"name":"Unilever","domain":"unilever.com","url":"https://alion.io/company/unilever","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":99,"open_postings":63,"ghost_share":0.016,"stale_share":0.016,"repost_share":0.333,"time_to_fill_p50_days":13,"computed_at":"2026-11-11T05:49:22Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"JavaScript","optional":false},{"name":"Machine Learning","optional":false},{"name":"TypeScript","optional":false},{"name":"Vertex AI","optional":false},{"name":"Google Cloud Run","optional":true},{"name":"Python","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-11-11T09:33:29Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T09:33:29Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Title: Full Stack Google AI Engineer\nWork Level: 2A\nJOB PURPOSE\nWe are looking for a Full Stack Google Artificial Intelligence Engineer to help build and scale enterprise artificial intelligence solutions on Google Cloud.\nIn 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.\nYou 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.\nYou 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.\nBecause here, we don’t just hire for jobs. We invite you to be part of something bigger.\nKEY RESPONSIBILITIES\nDesign and develop end-to-end artificial intelligence-enabled applications on Google Cloud.\nBuild backend services, application programming interfaces and user-facing application components.\nIntegrate applications with Google artificial intelligence technologies, including Vertex AI and Gemini models.\nTurn business and product requirements into practical, production-ready technical solutions.\nBuild reusable components, templates and engineering patterns that can be adopted across multiple products and use cases.\nDevelop applications with security, scalability, reliability, maintainability and observability in mind.\nApply modern software engineering practices, including automated testing, continuous integration and continuous delivery.\nWork collaboratively with product teams, solution architects, artificial intelligence engineers and cloud platform teams.\nDiagnose and resolve application, integration and performance issues across the solution.\nContribute to technical documentation, coding standards, code reviews and engineering best practices.\nShare knowledge with other engineers and contribute to the continued growth of our Google Cloud and artificial intelligence engineering capability\nREQUIRED QUALIFICATIONS\nHands-on software engineering experience using languages such as Java, JavaScript, TypeScript or similar modern programming languages.\nExperience designing and building full-stack applications and web-based application programming interfaces.\nPractical experience developing solutions on Google Cloud.\nExperience developing applications using container-based or serverless architectures.\nA good understanding of generative artificial intelligence and large language model application development.\nExperience integrating artificial intelligence or machine learning capabilities into applications.\nExperience with source control, automated testing and continuous integration and delivery practices.\nA good understanding of cloud-native application architecture and modern software development practices.\nStrong problem-solving skills and the ability to collaborate effectively with both technical teams and product stakeholders.\nPREFERRED QUALIFICATIONS\nExperience working with Vertex AI or Gemini models.\nExperience with Google Cloud services such as Cloud Run, Cloud Functions, identity and access management, and application programming interface management.\nPython development experience, particularly for artificial intelligence or cloud-based applications.\nExperience 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.\nExposure to artificial intelligence agents or multi-step artificial intelligence applications that can use tools, data and services to complete tasks.\nExperience creating reusable software frameworks, shared engineering components or development accelerators.\nAt Unilever, inclusion is at the heart of everything we do. 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