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About the role
Short description: Strong hands-on experience in Generative AI, Python, Machine Learning, Large Language Models (LLMs), and Prompt Engineering. Must have experience designing and implementing end-to-end AI solutions, integrating LLMs, developing ML models, building RAG/Agentic AI applications, and optimizing prompts for business use cases. Description: Strong hands-on experience in developing and implementing Generative AI solutions using Python. Experience working with LLMs (GPT, Llama, Claude, Gemini, etc.) and integrating them into business applications. Expertise in Prompt Engineering , prompt optimization, and LLM response tuning. Hands-on experience in building and deploying Machine Learning models and AI-powered applications. Experience with RAG, AI Agents, chatbot development, and LLM orchestration frameworks such as LangChain or LlamaIndex. Proven ability to design, develop, test, and deploy end-to-end AI solutions in production environments.
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