Sobre

• 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.
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• Accountabilities
• 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.
• Meal and food allowance through Caju.
• Medical plan fully funded for the employee, with co-participation for eligible dependents.
• Dental plan.
• Life insurance.
• Home office allowance.
• Mental health support through benefits such as Zenklub.
• Physical wellness support through benefits such as Gympass.
• Six months of maternity leave.
• Six months of paternity leave, also applicable to same-sex couples, non-birth mothers, and adoption cases.
• Five days of marriage leave.
• Internal recognition program with rewards redeemable through Caju.
• Birthday day off.
• Access to Creditas payroll-deducted credit, financial education, and marketplace benefits.
• Annual Férias&Co credits to support vacation travel.
• Access to coworking spaces through Woba.
• Opportunity to become a shareholder.
• Structured career development with technical and management paths through a career framework.
• Opportunities for continuous learning, increased responsibility, and professional growth.

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How Jobgether works

• We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
• We appreciate your interest and wish you the best!
• Why Apply Through Jobgether?
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