AI Engineer

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🕒 June 23

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+A Educação

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1973

📚 Education

☁️ SaaS

🥽 AR/VR

Education • SaaS • AR/VR

+A Educação is a Brazilian education group and edtech that combines digital learning platforms, editorial publishing and health-focused continuing education. The company provides a learning management platform (Plataforma A) with thousands of active learning objects, VR/AR resources, virtual and physical labs, and institutional management tools for higher education. Through its Artmed brand and Grupo A publishing arm it produces and distributes medical and multidisciplinary textbooks, online courses and professional development programs for health professionals.

📋 Description

• Develop and integrate LLM-based solutions using platforms such as OpenAI, Microsoft Azure AI, and AWS AI/ML; • Build, orchestrate, and maintain intelligent agents and multi-agent systems applied to various business domains; • Design and implement automation flows and AI pipelines using TypeScript and JavaScript; • Apply prompt engineering techniques to optimize the performance and reliability of language models in production; • Integrate external tools and services via protocols like MCP (Model Context Protocol) and REST APIs; • Collaborate with product, data, and leadership teams to identify AI opportunities and translate business objectives into technical solutions; • Ensure the quality, traceability, and security of implemented AI solutions, following software engineering best practices; • Stay up to date with trends in the AI ecosystem (models, frameworks, tools) and propose continuous improvements to existing solutions.

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related fields (or equivalent proven experience); • Strong experience with TypeScript and/or JavaScript in medium to large-scale projects; • Hands-on experience with LLM APIs (OpenAI, Azure OpenAI, AWS Bedrock, or similar); • Knowledge of prompt engineering, including techniques such as few-shot, chain-of-thought, and structured outputs; • Familiarity with building AI agents and orchestrating multi-agent systems (e.g., LangChain, LangGraph, AutoGen, or similar); • Familiarity with protocols and integration patterns for tools with LLMs, such as MCP (Model Context Protocol); • Experience consuming and configuring cloud services, especially Microsoft Azure and/or AWS; • Ability to communicate technical solutions clearly to non-technical stakeholders.

🏖️ Benefits

• Inclusion and diversity • Continuous learning • Professional growth