Senior AI Engineer (LLMs & Agentic AI)

📋 Description Build, maintain, and enhance Model Context Protocol (MCP) servers, tool definitions, and context Design and implement intent classification, evaluation, and routing workflows for natural language Develop multi-step orchestration workflows that coordinate multiple tools, APIs, and data sources Integrate hosted large language models from providers such as Anthropic and OpenAI into production Design and manage prompt engineering practices, prompt versioning, fallback strategies, and Develop and maintain LLM evaluation frameworks to measure model quality, validate behavior, and 🎯 Requirements Senior-level experience building and deploying production AI applications using Python and large Strong proficiency in Python, software engineering principles, and best practices for building Strong SQL skills and practical experience working with cloud data warehouses. Hands-on experience developing production-grade LLM and agentic AI applications. Demonstrated experience personally designing and building an MCP server, rather than only Experience implementing tool calling, context management, multi-step orchestration, and agentic 🎁 Benefits The position is based in Brazil; the specific work arrangement and remote-work eligibility are not Opportunity to work on production-grade LLM applications, agentic AI systems, and advanced Significant technical autonomy and ownership of architectural and production design decisions. Collaboration with engineering professionals and AI specialists in a technology-focused environment. Opportunities to contribute to AI platform design and the development of scalable, AI-powered A learning-oriented environment that encourages experimentation, continuous improvement, and modern