# Creative AI Engineer > Weekday AI · Mumbai, India · Full-time · Posted 2026-05-15 **Salary:** INR 500,000–1,600,000 **Workplace:** on_site **Department:** Weekday's Client via platform ## Description **This role is for one of the Weekday's clients** **Salary range: Rs 500000 - Rs 1600000 (ie INR 5 - 16 LPA) **Min Experience: 4 years Location: Pune, Mumbai, Gurugram, Bengaluru, Chennai, Hyderabad JobType: full-time ## Requirements **Key Responsibilities** - **Multi-Modal AI Pipeline:** Develop and optimize AI processes for analyzing static images, media assets, video and motion content, and documents by leveraging third-party AI services, APIs, and multi-modal foundation models from major cloud hyper-scalers. - **LLM Integration & Orchestration:** Design, implement, and maintain an AI provider abstraction layer that supports all leading cloud AI hyper-scalers, including Google Gemini and Azure OpenAI, with intelligent routing based on task complexity and cost efficiency. - **Prompt Engineering:** Create and refine channel-specific prompts tailored for advertising and creative effectiveness analysis across platforms such as Facebook, Instagram, and YouTube; embed domain expertise into system prompts; and optimize prompts for structured JSON outputs from LLMs. - **RAG Implementation:** Develop and sustain retrieval-augmented generation workflows using pgvector, implement hybrid search combining full-text and vector similarity, and design embeddings to enhance media asset processing. - **Custom AI Development:** Improve our proprietary optimization model and develop algorithms that integrate third-party metrics into dynamic strength scores. - **AI Agent Development:** Build and oversee conversational AI agents capable of tool-calling, manage state for multi-turn dialogues, and create autonomous decision-making systems to support creative workflows. - **AI-powered Asset Optimization:** Oversee and advance our AI-driven solution for creative asset optimization, using creative performance analysis to automate enhancements and implement incremental edits to improve creative assets. - **Performance Optimization:** Minimize inference latency, implement smart caching for embeddings, optimize token usage across providers, and develop cost-effective strategies for selecting AI models. **Required Skills** - **AI/Gen-AI Foundations:** Minimum of 4 years’ experience working with LLMs (including Gemini models, GPT, Claude) and a deep understanding of embeddings and vector search techniques. - **Multi-Modal AI:** Demonstrated experience processing creative assets such as images and video using AI models, knowledge of computer vision fundamentals, expertise in multi-modal creative generation, and proficiency in prompt engineering for media understanding and generation. - **Scaled AI Deployment:** Proven experience deploying AI solutions in production, managing asynchronous processing, implementing retry mechanisms, and handling errors in AI APIs. - **Python + AI Frameworks:** Strong proficiency in Python, experience with cloud AI SDKs including Google Gemini, Vertex, Azure OpenAI, and familiarity with AI orchestration frameworks. - **RAG Systems:** Practical experience building retrieval-augmented generation solutions, utilizing vector databases, and implementing semantic search. - **Creative AI Workflows:** Hands-on expertise in building, managing, and evolving creative workflows powered by AI, including creative asset adaptation, automation, analysis, or production. **Highly Valued** - Experience in creative AI, creative technology, media, or advertising technology sectors. - Previous work with various creative AI tools and frameworks. - Advanced skills in prompt optimization and structured output formatting. - Experience fine-tuning foundation models. - Knowledge of AI safety practices, including content filtering, audit logging, and watermarking. - Understanding of advertising and media performance metrics such as engagement, recall, attention, and memorability. **AI Stack You’ll Work With** - **AI Models:** Proprietary AI APIs for creative analysis, vision models, multi-modal AI models, LLMs including Google Gemini, Azure OpenAI, and Anthropic Claude. - **Internal AI:** Proprietary optimization models, custom dynamic strength scoring algorithms, and channel-specific prompt libraries. - **Infrastructure:** PostgreSQL with pgvector (HNSW indexes), asynchronous processing pipelines, AI observability frameworks, and Model Context Protocol (MCP) for tool integration. - **Frameworks:** Proprietary Django-based Python framework for AI workflows and orchestration. **What You’ll Build** - An AI pipeline that analyzes creative assets for cognitive demand, engagement, memorability, and attention effectiveness. - A generative AI system that creates optimized creative variants based on recommendations. - A vector similarity engine that identifies conceptually similar creatives from millions of assets. - Multi-modal agents that reason across images, video, and text to deliver actionable insights. - A cost optimization layer that routes requests to the most appropriate AI models. - A compliance system (planned) for validating creatives against advertising standards. ### Must-have Skills Generative AI, Azure OpenAI, Python ### Good-to-have Skills Creative AI Engineer, Generative AI Engineer, LLM Engineer ## Apply [Apply at Weekday AI](https://apply.workable.com/weekday-1/j/B0444A29F3/apply) --- Powered by [Workable](https://www.workable.com)