Roles and Responsibilities

Primary Focus (90% of role):

Research & Innovation: 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.

Solution Development & Prototyping: 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.

Code Development: Write production-quality Python code for GenAI applications, including prompt engineering pipelines, fine-tuning workflows, API integrations, vector database implementations, and AI agent systems.

Experimentation & Benchmarking: Design and execute experiments to evaluate model performance, conduct A/B testing of GenAI approaches,



and establish best practices for implementation.

Technical Documentation: Develop detailed technical documentation, architectural diagrams, implementation guides, and knowledge repositories for GenAI solutions.

Stay Current: Continuously monitor the rapidly evolving GenAI landscape, experiment with recent models and techniques, and bring insights from research papers and industry developments into practical applications.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Content Strategist Bengaluru (India)
🏢 Great Learning
📍 India