• To excel in this role, you must have previous managerial experience within the AI/ML field (ideally Generative AI), be a people person, lead by example, and be passionate about motivating and inspiring others
• 5+ years of experience building, leading, and scaling development teams
• At least one year of experience leading a team with Data Scientist/ML engineers
• Previous experience with Generative AI and RAG
• Agile mindset in software development and experience managing agile teams and educating teams about agile principles and methodologies (e.g., SCRUM or Kanban)
• Strong written and verbal communication skills in English
• Extensive development experience that includes experience with Python
• Positive, committed, with a 'can-do' attitude and a flexible approach
• Experience implementing reliable and efficient processes to accelerate development and improve quality
• Experience with LLMOps, including deploying and scaling ML models in production environments
• Familiarity with cloud platforms such as AWS, Google Cloud, or Azure
• Strong written and verbal communication skills in English, capable of working in a multicultural environment

Desirable

• We are looking for an AI Engineering Manager to lead and grow our AI group that currently is composed by two squads
• You will optimize the team's productivity and foster personal development while driving AI strategy and innovation
• Collaborate closely with Product Managers and other stakeholders to understand business goals, customer needs, and market trends. Lead crucial technical projects and initiatives pivotal to the company's success
• Manage budgets for AI squads and control running costs while ensuring operational excellence
• Manage budgets and tools to leverage AI internally within the company
• Collaborate seamlessly with cross-functional teams, including Design, Product, QA, and DevOps, to ensure smooth end-to-end product development and deployment processes
• Cultivate a data-driven decision-making environment, establish and monitor quality indicators and measurements to uphold product quality, and drive continuous improvement across AI engineering teams
• Support the team in executing the company's AI-driven product roadmap, ensuring high-quality and timely delivery of top-notch features and improvements
• Utilize your prompt engineering and chaining techniques skills to optimize and enhance system performance
• Enhance our LLMOps infrastructure to establish a robust feedback loop with precise metrics, ensuring continuous optimization of each use case
• Suggest improvements to our RAG in production to continually improve its metrics
• Maximize team performance by leading and developing a strong AI team through clear expectations, regular feedback, coaching, and career development plans