Staff AI

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff AI based in Brazil. This is a senior technical leadership role focused on building and scaling AI-first products in a fast-moving technology environment. You will serve as a key technical reference for Artificial Intelligence, combining hands-on engineering with product and business strategy. The role spans the full AI lifecycle, from experimentation and architecture through production deployment and continuous improvement. You will shape AI roadmaps, evaluate emerging technologies, and make high-impact decisions around models, infrastructure, and build-versus-buy strategies. Working closely with Product, Design, Engineering, and business stakeholders, you will bring intelligence into products used at significant scale. You will also establish AI Engineering standards, mentor engineers, and help advance responsible AI practices across the organization. This is an opportunity to influence both the technical direction and long-term evolution of AI initiatives while operating with significant autonomy and impact. Contribute to the AI vision and roadmap, bringing strong technical insight to product and business decisions. Architect and lead the development of AI systems in production, from initial experimentation through scalable deployment. Make strategic build-versus-buy-versus-fine-tune decisions for AI models and solutions. Integrate LLMs, foundation models, and generative AI capabilities into digital products. Establish technical standards, engineering practices, and a strong AI Engineering culture across the team. Partner closely with Product Managers, Designers, and Software Engineers to embed AI capabilities into products and user experiences. Mentor and develop AI/ML engineers, helping raise technical expertise and engineering quality across the organization. Research and assess emerging technologies, including LLMs, diffusion models, and multimodal AI, and recommend strategic adoption when appropriate. Lead initiatives related to AI governance, model evaluation, quality, bias mitigation, and responsible AI practices. Participate in technical hiring and contribute to building a high-performing AI engineering team. Requirements Advanced professional experience in Artificial Intelligence, Machine Learning, or AI-focused Software Engineering, with a strong track record of delivering production-grade solutions. Advanced Python development skills, with experience building robust production systems rather than working exclusively in notebooks. Hands-on experience with Generative AI and LLM technologies, including fine-tuning, RAG, LLM evaluation, foundation model integration, advanced prompt engineering, and AI pipeline design. Strong foundations in Machine Learning and Deep Learning, including practical experience with PyTorch and/or TensorFlow. Solid understanding of statistics, linear algebra, optimization, recommendation systems, and ranking models. Experience with cloud environments such as AWS or GCP and production MLOps pipelines using technologies such as MLflow, Kubeflow, or Airflow. Knowledge of low-latency model serving, Docker, Kubernetes, observability, and monitoring of AI/ML systems in production. Strong architectural skills, including the ability to evaluate technical trade-offs and design scalable AI systems. Demonstrated ability to influence cross-functional teams without formal authority and communicate complex technical concepts clearly to non-technical stakeholders. Proven experience mentoring and developing engineers. Strong analytical thinking, autonomy, communication, collaboration, and strategic decision-making skills. Experience applying AI to matching or recommendation systems, HRTech or B2B SaaS environments, open-source AI projects, or academic/industry publications and conferences is considered a plus. Benefits Remote work model with flexibility in working hours. M