• A track record of Building AI agents using LLM/SLM and RAG
• Experience in incorporating task decomposition and action planning in Agents (Chain-of-Thoughts,ReAct)
• Mastery of cutting-edge frameworks like LangChain, LlamaIndex, and others.
• Understanding of concepts—supervised/unsupervised learning, reinforcement learning, deeplearning, NLP —and how to apply them to real-world problems.
• A keen understanding of data and application security in an AI context
• Expertise in model selection, training, fine-tuning, optimization, evaluation, and testing to ensure reliability and performance at scale.
• A collaborative spirit when it comes to working with Data Engineers, partnering closely to shape high-quality training and analysis datasets.
• Experience in deploying and managing AI/ML operations is a strong plus.