Generative AI Engineer

Role Summary

• Design, develop and deploy AI-powered applications using Google Cloud Platform. Build intelligent solutions supporting content discovery, audience engagement, campaign analytics, content intelligence, personalization and operational automation within digital media environments. Key Outcomes (First 6 Months)
• Deliver production-grade AI applications on GCP.
• Develop scalable GenAI and machine learning solutions.
• Implement engineering standards, monitoring and governance.
• Support business use cases with measurable ROI and adoption. Responsibilities
• Develop AI and GenAI applications using Python and GCP services.
• Build APIs and AI services using FastAPI and cloud-native architectures.
• Integrate Gemini models, Vertex AI and enterprise data sources.
• Implement RAG-based knowledge solutions using Vector Search and BigQuery.
• Develop recommendation, classification, summarization and search solutions.
• Collaborate with Data Engineers, Architects, Product Teams and DevOps Engineers.
• Implement testing, monitoring, observability and deployment pipelines.
• Optimize AI solutions for performance, scalability and cost efficiency. Core GCP AI Skills
• Vertex AI
• Gemini Models
• Vertex AI Search
• Vector Search
• BigQuery
• Cloud Storage
• Cloud Run
• Cloud Functions
• Pub/Sub
• Dataflow AI & Machine Learning Skills
• Prompt Engineering
• Retrieval Augmented Generation (RAG)
• Embeddings
• Model Evaluation
• Recommendation Systems
• NLP Applications
• Document Intelligence
• Conversational AI Digital Media Experience Preferred
• Content recommendation engines
• Audience segmentation and analytics
• Advertising performance analytics
• Content metadata enrichment
• Subscriber and retention analytics
• Personalization and customer engagement solutions Software Engineering
• Python
• FastAPI
• REST APIs
• Docker
• Git
• CI/CD
• Unit Testing
• Integration Testing Observability & Security
• Cloud Monitoring
• Cloud Logging
• IAM
• Secret Manager
• Cloud KMS
• Audit Logging
• Responsible AI controls Qualifications
• Bachelor or Master degree in Computer Science, AI, Data Science or related discipline
• 2-5 years of software engineering or AI development experience
• Strong Python programming skills
• Experience with GCP AI services preferred