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Strong agency brand, metro location, and mid-level requirements amplify candidate competition.
Core GenAI and RAG skills transfer well, but advertising-specific creative metrics raise domain specificity.
Multiple mandatory GenAI, RAG, production deployment, and Python requirements make shortlisting highly selective.
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Develop and manage AI-driven creative workflows involving multi-modal AI processing for images, video, and media generation.
Deploy and maintain scalable AI solutions in production environments with robust error handling and asynchronous processing.
Build and evolve retrieval-augmented generation (RAG) systems leveraging vector databases and semantic search for creative asset adaptation and automation.
3+ years experience working with Large Language Models (e.g., Gemini models, GPT, Claude) and deep knowledge of embeddings/vector search.
Proven expertise in multi-modal AI including computer vision and prompt engineering for media understanding and generation.
Strong Python programming skills with hands-on experience in Cloud AI SDKs (Google Gemini, Vertex, Azure OpenAI) and AI orchestration frameworks.
Work location mandatory in Mumbai-Thane Ashar IT Park, India; Full-time, Permanent contract.
Experienced in creative AI or advertising technology environments, with a focus on media or creative asset workflows.
Skilled in advanced prompt optimization and structured AI output generation, including fine-tuning foundational AI models.
Familiar with AI safety practices such as content filtering and audit logging, and understands advertising/media metrics like engagement and recall.