Description:
• Programming: Strong proficiency in Python and experience with AI/ML frameworks like PyTorch or TensorFlow is often mandatory.
Agentic frameworks: Hands-on experience with agentic AI frameworks such as LangChain, AutoGen, CrewAI, or LlamaIndex.
• LLMs and NLP: Solid understanding of large language models (LLMs), natural language processing (NLP), prompt engineering, and Retrieval-Augmented Generation (RAG).
• Machine learning: Strong knowledge of machine learning concepts, algorithms, and data mining.
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• System design: Proven experience in designing scalable and maintainable systems, including debugging and error handling for complex interactions
• Tools and technologies: Familiarity with vector databases (e.g., Pinecone, Weaviate) and cloud-based AI platforms is a plus. .
• Maintaining versions of the prototypes
•Performance Optimization: Ensure scalability, reliability, and cost-effectiveness of AI-driven solutions
