Creative AI Engineer

Job Description:

Required Skills:

• AI/Gen-AI Foundations: 3+ years working with LLMs (Gemini models, GPT, Claude), deep understanding of embeddings and vector search

• Multi-Modal AI: Proven experience processing creative assets, images and video with AI models, computer vision fundamentals, creative generation using multi modal capabilities, and prompt engineering patterns for both media understanding and for media generation

• Scaled AI Deployment: Experience deploying AI in production environments, handling async processing, implementing retry logic and error handling for AI APIs

• Python + AI Frameworks: Strong Python skills, experience with Cloud AI SDKs including Google Gemini and Vertex, Azure OpenAI, and others, familiarity with AI orchestration frameworks

• RAG Systems: Hands-on experience building retrieval-augmented generation solutions, using vector databases, semantic search implementation

• Creative AI Workflows: Hands-on experience building, managing and evolving creative workflows using AI models. This could include creative asset adaptation, automation, creative analysis, or creative production using AI.

Highly Valued:

• Background in creative AI, creative technology, media or advertising technology

• Prior experience with other creative AI tools and frameworks

• Advanced Knowledge of prompt optimization techniques and structured output generation

• Experience with fine-tuning foundation models 

• Familiarity with AI safety practices (content filtering, audit logging, watermarking)

• Understanding of advertising and media metrics (engagement, recall, attention, memorability)

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