Thaloz is a tech consulting and outsourcing company focused on cloud-native product development and engineering team outsourcing. They offer tailored software development solutions, leveraging top-tier talent from Latin America. Thaloz provides a variety of services such as custom product development, staff augmentation, and enterprise solutions. Their approach emphasizes people-focused consulting and remote work culture, ensuring seamless integration of skilled IT professionals into their clients' projects. With expertise in diverse technologies, Thaloz offers end-to-end support from strategy to launch, fostering smooth communication and collaboration.
Staff Augmentation • Remote jobs • IT Recruitment • consultancy • IT Consultancy
Yesterday
Thaloz is a tech consulting and outsourcing company focused on cloud-native product development and engineering team outsourcing. They offer tailored software development solutions, leveraging top-tier talent from Latin America. Thaloz provides a variety of services such as custom product development, staff augmentation, and enterprise solutions. Their approach emphasizes people-focused consulting and remote work culture, ensuring seamless integration of skilled IT professionals into their clients' projects. With expertise in diverse technologies, Thaloz offers end-to-end support from strategy to launch, fostering smooth communication and collaboration.
Staff Augmentation • Remote jobs • IT Recruitment • consultancy • IT Consultancy
• 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, APIdriven 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. • Job Responsibilities: 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; iterate on prompt designs based on performance metrics. • Design, develop, and refine AI products based on user feedback and stakeholder requirements; ensure alignment with program priorities through agile methodologies. • Collaborate closely with ML engineering teams during the deployment phase of APIs in production environments; assist in troubleshooting issues related to model performance or integration challenges. • Document Generative AI use cases comprehensively; create manuals detailing workflows, methodologies employed in solution design, and best practices adopted throughout the process. • Develop and maintain RAG concepts following established data science principles; ensure adherence to industry standards while fostering innovation. • Ensure efficient operation of data pipelines and processes according to company security policies; promote Responsible AI practices within all project phases. • Work closely with cross functional teams including product managers, data scientists, software engineers, and stakeholders to align goals effectively; communicate technical concepts clearly across diverse audiences.
• 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.
Apply NowDiscover 90,000+ Remote Jobs!
Join now to unlock all job opportunities.
We use powerful scraping tech to scan the internet for thousands of remote jobs daily. It operates 24/7 and costs us to operate, so we charge for access to keep the site running.
Of course! You can cancel your subscription at any time with no hidden fees or penalties. Once canceled, you’ll still have access until the end of your current billing period.
Other job boards only have jobs from companies that pay to post. This means that you miss out on jobs from companies that don't want to pay. On the other hand, Remote Rocketship scrapes the internet for jobs and doesn't accept payments from companies. This means we have thousands more jobs!
New jobs are constantly being posted. We check each company website every day to ensure we have the most up-to-date job listings.
Yes! We’re always looking to expand our listings and appreciate any suggestions from our community. Just send an email to Lior@remoterocketship.com. I read every request.
Remote Rocketship is a solo project by me, Lior Neu-ner. I built this website for my wife when she was looking for a job! She was having a hard time finding remote jobs, so I decided to build her a tool that would search the internet for her.