Senior AI Engineer - Brazil - RemoteInnovative Work: Lead groundbreaking AI/ML initiatives, working with cutting-edge technologies to develop and deploy next-generation solutions, including Generative AI and Retrieval-Augmented Generation (RAG)-based systems.Growth Opportunity: Elevate your career by driving AI strategy, mentoring top talent, and shaping the future of AI adoption.
Gain exposure to complex challenges and high-impact projects that push the boundaries of machine learning.Elite Team: Collaborate with industry-leading AI/ML engineers, researchers, and business leaders in a dynamic, high-performance environment.
Be surrounded by experts who challenge and inspire innovation at every level.This role will leverage AI to solve complex, real-world problems for global clients.
Our team is passionate about building robust, scalable solutions powered by machine learning and large language models.
We are looking for a Senior AI Engineer to join our growing team and help shape the next generation of intelligent data products.What You'll Do:Design, train, and deploy large language models (LLMs) and other machine learning models for real-world applicationsLead end-to-end development of AI/ML products, from research and prototyping to production and post-deployment optimizationArchitect and implement Retrieval-Augmented Generation (RAG) systems and other hybrid AI approachesCollaborate with data scientists, software engineers, and product managers to bring AI solutions to lifeExperiment with and evaluate multiple models and techniques to drive innovation and performance improvementsOptimize models for scale, latency, and efficiency in production environmentsWrite high-quality, maintainable Python code in a collaborative engineering settingWhat We're Looking For:5+ years of experience in AI/ML engineering, with a strong focus on LLMs and generative AIProven track record of training, fine-tuning, and deploying large language models in productionStrong understanding of modern ML frameworks (e.g., PyTorch, TensorFlow) and NLP pipelinesHands-on experience building end-to-end AI systems, including data ingestion, model development, deployment, and monitoringExpertise in Retrieval-Augmented Generation (RAG) systemsSolid coding skills in Python and experience with scalable cloud environments (e.g., AWS, GCP, Azure)Experience solving real-world problems using AI/ML in production environmentsStrong communication skills and the ability to work effectively in cross-functional teams