AI Agent Engineer

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Design, integrate, and enhance intelligent solutions utilizing low-code platforms, AI agent architectures, LLMs, RAG, memory, and vector knowledge bases.

• Create automations and tailored solutions.

• Link AI agents with both internal and external systems.

• Implement scalable architectures employing Python, JavaScript, and various technologies within the AI ecosystem.

• Develop solutions using Dify, n8n, and Sydle for process automation.

• Architect and implement AI agent orchestrators.

• Collaborate with LangGraph, CrewAI, AutoGen, and Langflow.

• Create, configure, and manage agents utilizing Claude Agents, the OpenAI Agents SDK, Google Vertex AI, and Gemini Enterprise.

• Utilize Claude Code and GitHub Copilot to enhance productivity.

• Integrate LLMs with internal and external systems, databases, and automations.

• Develop integrations using REST APIs and MCP.

• Implement advanced RAG and memory architectures for AI agents.

• Work with vector knowledge bases.

• Integrate complex systems and create intelligent automations.

• Assess and apply AI platforms and tools based on solution requirements.

• Contribute to the advancement of AI-assisted delivery practices.

⛳️ Requirements

• Demonstrated experience in software development and systems integration.

• Understanding of Artificial Intelligence agent architectures.

• Familiarity with agent orchestration platforms and frameworks.

• Proficient in Python.

• Proficient in JavaScript.

• Knowledge of AI-assisted development tools and coding copilots.

• Experience with or understanding of LLMs and integration with language model APIs.

• Experience with or knowledge of RAG (Retrieval-Augmented Generation).

• Understanding of memory architectures for AI agents.

• Knowledge of vector knowledge bases.

• Capability to design scalable solutions using agents, RAG, memory, and integrations.

• Knowledge of systems integration via REST APIs.

• Familiarity with MCP (Model Context Protocol).

• Nice to have: practical experience with various AI agent platforms; Dify, n8n, or Sydle; LangGraph, CrewAI, AutoGen, or Langflow; Claude Agents, the OpenAI Agents SDK, Google Vertex AI, or Gemini Enterprise; Claude Code and GitHub Copilot; AI-assisted delivery; GitHub Copilot and Wynxx.

🏝️ Benefits

• Multi-benefit card – select how and where to use it.

• Scholarships for undergraduate, graduate, MBA, and language studies.

• Certification incentive programs.

• Flexible working hours.

• Competitive salaries.

• Annual performance reviews with a structured career development plan.

• Opportunities for international careers.

• Wellhub and TotalPass.

• Private pension plan.

• Childcare support.

• Medical coverage.

• Dental coverage.

• Life insurance.

• A safe, diverse, and inclusive work environment.

• A culture of development and growth through Continuous Scaled Learning.