Job Summary: We are seeking a Senior AI Engineer focused on building corporate AI platforms and accelerating enterprise-wide GenAI adoption in a dynamic, continuously learning environment. Key Highlights: 1. Focus on building corporate AI platforms and scaling GenAI adoption 2. Development of large-scale projects for national and international clients 3. Relaxed and dynamic environment with continuous learning We are passionate about technology, creativity, and challenges. If you enjoy challenges, constant learning, and value personal connections, join us! \# We value diversity and believe it is fundamental to innovation and delivering value to our customers. All our positions are open to everyone, with or without disabilities, regardless of age, gender, sexual orientation, ethnicity, religion, or any other characteristic. If you identify with this role, come join our team! **WHAT WE’RE LOOKING FOR?** We seek professionals eager to work with us in a relaxed and dynamic environment, with continuous learning while developing large-scale projects alongside major national and international clients. We have offices in São Paulo and Chicago (USA), but our operations are remote—we prefer to call it *anywhere office*. We’re looking for **Senior AI Engineers**, focused on **building corporate AI platforms**, and accelerating enterprise-wide GenAI adoption. This position is **hands-on**, strategic, and oriented toward **software engineering**, not traditional infrastructure roles. **ATTENTION!** For this role, the **work model is hybrid** (*2 days per week onsite*), requiring easy access to our office located in **Barueri/SP**; **Advanced English is mandatory** (global communication). **WHAT WILL THIS PROFESSIONAL DO?** * Develop a corporate **CLI** for invoking AI agents. * Build an **agent runtime** and a **reusable skills registry**. * Construct a corporate **LLM gateway**, with usage control and *rate limiting*. * Ensure **versioning of agents and skills**, with structured logging of prompts and outputs. * Implement **auditing mechanisms**, input/output filters, and controls for sensitive data. * Support definition of **usage tiers** (e.g., n8n) and the official model stack. * Create **executive AI usage metrics**, as well as telemetry and observability. * Integrate solutions with **Kubernetes** and **CI/CD** pipelines at the architectural level. **WHAT IS REQUIRED FOR THIS POSITION?** * Strong **back-end** experience using **Node.js** or **Python**. * Solid knowledge of **API architecture**, **distributed systems**, and **multi-tenant architecture**. * Practical experience with: + Authentication (OAuth, JWT, RBAC) + Observability (logs and metrics) + Semantic versioning + Automated testing * An **AI-Native profile**, with daily use of tools such as **GitHub Copilot**, **Cursor**, or **Codeium**. * **Advanced English** (global communication). **WHAT WOULD BE A PLUS?** * Experience with LLM APIs such as **OpenAI** and **Microsoft Azure**. * Knowledge of **RAG (Retrieval-Augmented Generation)**. * Experience with **SDK design**. * Knowledge of **prompt injection and LLM security**. **HIRING PROCESS STEPS:** * Application * Cultural fit interview * Technical interview * Client interview * Offer