Senior LLM Engineer

6 days ago

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Taller

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Taller is an AI-powered company that specializes in delivering innovative solutions to transform businesses. With over 15 years of expertise, Taller focuses on custom engineering, automation, and AI-driven strategies that help clients increase efficiency, reduce costs, and improve overall performance. Their diverse service offerings include digital engineering, custom software development, and AI/ML implementations across various industries.

Agentic AI • AI-Powered Solutions • AI Systems Engineering • Consulting Services • Custom Software Development

201 - 500 employees

Founded 2008

🤖 Artificial Intelligence

💳 Fintech

☁️ SaaS

📋 Description

• We are looking for a talented and innovative Large Language Model (LLM) Engineer • The ideal candidate will be instrumental in the development, optimization, and deployment of RAGbased LLM solutions • 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 • Collaborate closely with ML engineering teams during the deployment phase of APIs in production environments • Develop robust RAGbased LLM solutions that enhance data retrieval processes while ensuring high quality output aligned with business objectives • Craft effective prompts that efficiently guide LLMs towards generating outputs that fulfill specific business requirements • Document Generative AI use cases comprehensively; create manuals detailing workflows, methodologies employed in solution design, and best practices adopted throughout the process • Work closely with cross functional teams including product managers, data scientists, software engineers, and stakeholders to align goals effectively

🎯 Requirements

• A minimum of 3 years' experience working with Python for machine learning applications • 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