GenAI Architect

You should have knowledge of Gen AI technology ecosystem including top tier LLMs, prompt engineering, development frameworks like LLMaxindex and LangChain, LLM fine tuning, and experience in architecting RAGs and other LLM-based solutions for enterprise use cases. You must possess strong proficiency in programming languages such as Python and SQL. Additionally, you should have at least 3+ years of experience in predictive/prescriptive analytics, including Machine Learning algorithms (Supervised and Unsupervised), deep learning algorithms, and Artificial Neural Networks like Regression, classification, ensemble model, RNN, LSTM, GRU. Experience of 2+ years in NLP, Text analytics, Document AI, OCR, sentiment analysis, entity recognition, and topic modeling is required. Proficiency in LangChain and Open LLM frameworks for tasks like summarization, classification, Name entity recognition, and Question answering is essential. You should be proficient in Generative techniques like prompt engineering, Vector DB, and LLMs such as OpenAI, LlamaIndex, Azure OpenAI, and Open-source LLMs. Hands-on experience in GenAI technology areas including RAG architecture, fine-tuning techniques, and inferencing frameworks is preferred. Familiarity with big data technologies/frameworks, as well as sound knowledge of Microsoft Azure, is necessary for this role. This is a Full-time, Permanent position with a Day shift schedule. The required experience includes 2 years in GenAi and 4 years in LLM. The work location is in person.,