LLM Engineer

2 days ago

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Thaloz

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We help companies achieve their goals and expand their business through technology.

Staff Augmentation • Remote jobs • IT Recruitment • consultancy • IT Consultancy

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Description

• We are looking for a talented and innovative Large Language Model (LLM) Engineer with specialized experience in Retrieval Augmented Generation (RAG) to join our dynamic team. • The ideal candidate will be instrumental in the development, optimization, and deployment of RAGbased LLM solutions that meet various business needs. • This role requires a deep understanding of Data Science, Machine Learning (ML), Natural Language Processing (NLP), and the fundamentals of LLMs. • The successful candidate will have hands-on experience with agent based prompting techniques such as LangChain, API driven development architectures for AI products, usage of vector databases, and information retrieval pipelines to extract actionable insights. • Additionally, strong listening skills and an ability to understand business requirements are essential for designing effective solutions tailored to stakeholder needs.

Requirements

• A minimum of 3 years' experience working with Python for machine learning applications along with expertise in AWS Cloud Computing services. • Familiarity with AWS Bedrock's suite of LLM models along with associated prompting strategies tailored for optimal performance. • At least 1 year of direct experience working specifically within NLP frameworks/LLMs focusing on Retrieval Augmented Generation models. • Proficiency in Python programming language utilized extensively for data science projects involving AI development. • Familiarity with agent based frameworks like LangChain which support advanced interactions between users/models. • Experience leveraging AI training frameworks such as TensorFlow or PyTorch alongside Hugging Face Transformers library for model building/training tasks. • Demonstrated expertise in prompt engineering techniques aimed at finetuning large language models tailored toward specific applications or industries. • Knowledgeable about vector databases including practical experience implementing embedding techniques necessary for enhanced information retrieval capabilities.