Fullstack AI Engineer - Sênior

Accountabilities:

• Develop prototypes and functional MVPs using generative AI, automation, APIs, and modern web technologies.

• Design and implement automated workflows using n8n and API-based integrations.

• Leverage AI-assisted development tools such as Claude, Claude Code, Lovable, OpenAI, GitHub Copilot, and similar technologies to accelerate delivery.

• Develop and evolve solutions using multiple programming languages and technologies, including Node.js, React, Python, and PHP.

• Integrate internal systems, databases, web applications, APIs, and AI-powered tools into cohesive solutions.

• Contribute to the technical design of AI agents, copilots, assistants, and intelligent workflows.

• Assess technical feasibility, effort, risks, dependencies, and architecture options for proposed solutions.

• Apply good practices around security, authentication, logging, data protection, and responsible use of AI-generated solutions.

• Document prototypes and technical solutions while supporting the transition of successful MVPs toward production-ready implementations.

• Analyze existing business processes (As-is) and collaboratively design improved future-state processes (To-be) focused on measurable value and efficiency.

• Partner closely with product, business, and technology stakeholders to identify opportunities and translate them into practical technical solutions.

Requirements

• 5+ years of professional software development experience.

• Hands-on experience with AI-assisted software development, including tools such as Claude Code, Lovable, GitHub Copilot, or similar AI/vibe-coding platforms.

• Proven experience designing or developing AI Agents and intelligent workflows.

• Strong ability to understand business needs, evaluate existing processes, and propose future-state solutions that generate measurable value.

• Practical experience with n8n for workflow automation and system integrations.

• Demonstrated ability to rapidly develop prototypes and evolve successful concepts into functional MVPs.

• Strong knowledge of Node.js, React, and REST API integration.

• Practical Python experience for automation, scripting, data processing, or AI integrations.

• Familiarity with PHP and the ability to work across multiple technology stacks.

• Familiarity with LangChain, LangGraph, or comparable AI/agent development frameworks.

• Understanding of cloud technologies, Docker, CI/CD, DevOps, or serverless architectures.

• Solid knowledge of generative AI, LLMs, prompt engineering, and AI APIs.

• Strong communication skills and the ability to collaborate effectively with product, business, and engineering teams.

• High degree of autonomy, ownership, and delivery focus.

• Ability to translate complex technical concepts into clear language for non-technical stakeholders.

• Innovative mindset with the confidence to experiment and take calculated risks.

• Nice to have: knowledge of RAG, embeddings, and vector databases.

• Nice to have: knowledge of LGPD, data security, and AI governance.

• Nice to have: familiarity with BMAD methodology and agent orchestration.

• Nice to have: experience in education or healthcare environments.

• Nice to have: familiarity with TOTVS/RM or Protheus.

Benefits

• Fully remote position based in Brazil.

• Opportunity to work on innovative AI initiatives with direct business impact.

• Exposure to generative AI, AI agents, automation, modern web development, and emerging technology platforms.

• Opportunity to experiment with cutting-edge AI-assisted development tools and rapidly transform ideas into working solutions.

• High level of autonomy and ownership over technical solutions and delivery.

• Collaborative environment connecting engineering, product, business, and technology teams.

• Opportunities to contribute to digital transformation initiatives across complex business processes.

• Strong focus on innovation, continuous learning, knowledge sharing, and professional development.

• Inclusive environment built around diversity, respect, ethics, and collaboration.

• Opportunities to participate in technology communities, training initiatives, leadership development, and social-impact programs.