Product AI Specialist

• Between 3 and 5 years of professional experience.
• At least 1-2 years of specific experience designing Generative AI-based solutions applied to business or product.
• Experience in designing functional architectures with agents and RAG.
• Advanced knowledge of Prompt Engineering.
• Experience with frameworks such as LangChain, LlamaIndex, or Semantic Kernel.
• Knowledge of AI model evaluation and optimization.
• Experience in integrations via APIs and corporate environments.
• Intermediate level of SQL and Python.
• Experience working with Agile methodologies and product management.
• Knowledge of Data Governance and AI regulation (AI Act).

• Copilot Studio and Power Platform.
• Azure AI Foundry or AWS Bedrock.
• GitHub Copilot Chat or Claude Code.
• Postman.
• LangSmith or Langfuse.
• LLM models such as GPT and Claude.
• Business vision and results orientation.
• Ability to lead initiatives cross-functionally.
• Communication skills with technical and business profiles.
• Analytical thinking and a data-driven approach.
• Ability to manage multiple stakeholders and changing environments.

• Participation in high-impact and high-visibility AI projects.
• Innovative environment oriented toward digital transformation.
• Collaboration with multidisciplinary teams and cutting-edge technologies.
• Real opportunities for growth and professional development.
• Hybrid / Remote work model
• Competitive salary and flexible compensation plan.
• Participation in social impact initiatives and professional volunteering.

Are you passionate about transforming business processes through Generative Artificial Intelligence? We are looking for an AI Specialist with experience in designing AI solutions applied to business, capable of leading initiatives from start to finish and acting as a bridge between functional areas and technical teams.

You will be responsible for identifying opportunities for AI application within the organization, designing innovative solutions, and bringing them into production, ensuring a real impact in terms of efficiency, adoption, and return on investment.

You will work closely with business, development, and data teams to define use cases, design functional architectures based on agents, RAG, and integrations, and ensure the correct implementation of solutions.

• Identify, analyze, and prioritize Generative AI use cases.
• Design end-to-end solutions based on agents, RAG, and integrations with corporate systems.
• Define functional requirements and act as an interlocutor between business and technical teams.
• Supervise the complete development and implementation cycle of AI-based products.
• Design and optimize advanced prompts for different use cases.
• Define success metrics, perform quality evaluations, and monitor KPIs.
• Integrate AI solutions with APIs, CRM, ERP, and other enterprise platforms.
• Drive the adoption of implemented solutions and measure their business impact.