Content Strategist

About This Role

This role focuses on researching, developing, and deploying GenAI solutions across various product teams and business units. It involves extensive experimentation, benchmarking, and technical documentation, requiring continuous monitoring of the evolving GenAI landscape.

Responsibilities

• Conduct in-depth research on emerging GenAI technologies, frameworks, and models (LLMs, diffusion models, multimodal AI, agentic systems, RAG architectures, etc.) and evaluate their applicability to business challenges
• Design, develop, and deploy GenAI solutions and proof-of-concepts for various use cases across different product teams and business units using state-of-the-art tools and frameworks
• Write production-quality Python code for GenAI applications, including prompt engineering pipelines, fine-tuning workflows, API integrations, vector database implementations, and AI agent systems
• Design and execute experiments to evaluate model performance, conduct A/B testing of GenAI approaches, and establish best practices for implementation
• Develop detailed technical documentation, architectural diagrams, implementation guides, and knowledge repositories for GenAI solutions
• Continuously monitor the rapidly evolving GenAI landscape, experiment with new models and techniques, and bring insights from research papers and industry developments into practical applications