Ready to accelerate your career? Clara is the fastest-growing company in Latin America. Weve built the leading solution for companies to make and manage all their payments. We already help over 20,000 large and growing businesses
About Frontier Frontier is a subsidiary of Fresh Prints. Fresh Prints is a New York-based, fast-growing, fully remote, 150-person company with most of our team based in India and the Philippines. A few years ago, Fresh Prints began
If you’ve worn a pair of glasses, we’ve already met. We are a global leader in the design, manufacture, and distribution of ophthalmic lenses, frames, and sunglasses. We offer our industry stakeholders in over 150 countries
If you’ve worn a pair of glasses, we’ve already met. We are a global leader in the design, manufacture, and distribution of ophthalmic lenses, frames, and sunglasses. We offer our industry stakeholders in over 150 countries
About Nooks.ai: Nooks is an applied AI lab building the Agent Workspace for GTM. We design AI agents that operate across the full sales action set, from account strategy to prospect research and outreach. Building 0→1
Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not
About Frontier Frontier is a subsidiary of Fresh Prints. Fresh Prints is a New York-based, fast-growing, fully remote, 150-person company with most of our team based in India and the Philippines. A few years ago, Fresh Prints began
We are a global technology group, headquartered in London. We deploy experts and frontier technology, like AI, to help organisations thrive through change. We have over 600 professionals (75% hands-on technical talent) spread across Europe, North America
About the Role As a Senior AI/LLM Engineer, you will lead our efforts to train, align, and optimize large language models. You will own the full post-training pipeline from supervised fine-tuning through reward modeling and RL