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