Fullstack AI Engineer - (JR/PL)

Accountabilities:: Build and evolve AI Agents and AI-powered automations to solve practical business and technical problems. Participate in the development of MVPs and POCs , balancing experimentation, learning, and delivery. Integrate systems through REST APIs and design automated workflows using tools such as n8n, Zapier, or similar platforms . Develop applications and supporting solutions using TypeScript and/or Flutter . Incorporate modern AI development tools, including solutions such as Claude, Codex, and similar technologies , into the development workflow. Explore and apply emerging AI tools, frameworks, trends, and engineering best practices. Contribute to the continuous improvement of existing solutions, identifying technical and functional opportunities. Take ownership of the complete development lifecycle, including implementation, testing, quality assurance, and ongoing support. Collaborate with multidisciplinary teams and participate in potential international interactions across Latin America. Requirements Initial hands-on experience with AI-powered automations or AI Agents . Experience with automation platforms such as n8n, Zapier, or similar tools . Practical interest in applied AI, LLMs, automations, and agent-based architectures . Familiarity with REST APIs and system integrations. Experience with TypeScript and/or Flutter . Basic knowledge of data engineering concepts. Currently pursuing or holding a degree in Computer Science, Software Engineering, Data Science, or a related field . Strong ownership and accountability for technical delivery. Curious, proactive mindset with a strong willingness to learn and experiment with new technologies. Ability to identify opportunities for technical and functional improvements. Clear communication skills and ability to collaborate effectively with multidisciplinary teams. Familiarity with LangChain, LangGraph, or similar frameworks is a plus. Experience with AWS, Python, MCP (Model Context Protocol), or agent-to-tool integration architectures is desirable. Knowledge of structuring and using data for AI and LLM applications is an advantage. Additional language skills are a plus, although fluency in another language is not required. Benefits Full-time employment. 100% remote work in Brazil. Opportunity to work hands-on with AI Agents, LLMs, automations, APIs, and modern AI development tools . Exposure to emerging technologies such as LangChain, LangGraph, MCP, AWS, n8n, TypeScript, Flutter, and Python . High degree of autonomy and direct ownership of development, testing, quality, and ongoing support. Opportunity to build MVPs and POCs focused on experimentation and practical AI applications. Collaborative environment with multidisciplinary teams and potential LatAm international interactions . Opportunities to continuously learn and apply new AI tools, trends, and engineering practices. Inclusive environment with opportunities for People with Disabilities (PwD) .