Fullstack AI Engineer - Pleno/Sênior

Accountabilities: Develop prototypes and functional MVPs using generative AI, automation, APIs, and system integrations. Design automated workflows with n8n and connect internal systems, databases, web applications, and AI services through APIs. Build and evolve solutions using multiple programming languages and technologies, including Node.js, React, Python, and PHP. Design and support AI agents, copilots, assistants, and intelligent workflows, evaluating appropriate architectures and implementation approaches. Assess technical feasibility, effort, risks, and architecture for proposed solutions. Apply good practices related to security, authentication, logging, data protection, and responsible use of AI-powered solutions. Document technical solutions and contribute to evolving prototypes and MVPs into production-ready applications. Work consultatively with product and business stakeholders to map current-state (As-Is) processes and propose improved future-state (To-Be) processes. Experiment with AI-assisted development tools and rapidly validate ideas while maintaining appropriate technical quality and reliability. Requirements More than 5 years of professional software development experience. Practical experience with AI-assisted software development, including tools such as Claude Code, Lovable, GitHub Copilot, or similar vibe-coding solutions. Hands-on experience creating and developing AI agents. Proven ability to understand business needs, analyze existing processes, and propose future-state solutions that generate practical value. Strong practical experience with n8n for workflow automation and system integrations. Experience rapidly developing prototypes and evolving them into functional MVPs. Solid knowledge of Node.js, React, and REST API integrations. Experience with Python for automation, scripting, or AI-related integrations. Familiarity with PHP-based applications. Familiarity with LangChain, LangGraph, or comparable AI agent and orchestration frameworks. Knowledge of cloud environments, Docker, CI/CD, DevOps, or serverless architectures. Understanding of generative AI, LLMs, prompt engineering, and AI service APIs. Strong communication skills and the ability to translate technical concepts for product and business audiences. Autonomy, delivery focus, curiosity, and an innovative mindset with the ability to take calculated risks. Knowledge of RAG, embeddings, and vector databases is a plus. Familiarity with LGPD, data security, and AI governance is a plus. Experience with BMAD Method and agent orchestration is a plus. Experience in education or healthcare environments is a plus. Familiarity with TOTVS/RM or Protheus is a plus. Benefits Fully remote position. Occasional travel to the office in Campinas, São Paulo, as required. Opportunity to work on practical applications of generative AI, automation, and AI agents. Exposure to modern development technologies and AI-assisted engineering practices. Collaboration with product, business, and technology teams. Opportunity to contribute to prototypes, MVPs, integrations, and solutions with direct business impact. Professional development in an innovation-focused technology environment. Collaborative environment that values autonomy, knowledge sharing, diversity, respect, and ethical practices.