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Engenheiro(a) de Inteligência Artificial Pl - Equiplano

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Engenheiro(a) de Inteligência Artificial Pl - Equ

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Jobgether Source published Sep 29, 2026 Verified 13 hours ago
✓ 100% verification score · Source: jobgether (lever) · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.
EmploymentFull-time
Work modeRemote / location-flexible

Overview

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Engenheiro(a) de Inteligência Artificial Pl - Equ

Full job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Engenheiro(a) de Inteligência Artificial Pl - Equiplano based in Brazil. This is an opportunity to build AI-native products designed to modernize public-sector management. You will architect and develop intelligent solutions using AI agents, large language models, and automation. The role covers strategic products including autonomous customer service, natural-language reporting, and automated data auditing. You will work across LLM pipelines, RAG, memory, agent orchestration, and enterprise system integrations. The position combines technical ownership with close collaboration across product and R&D teams. You will help transform complex business requirements into secure, traceable, and scalable AI solutions. The environment values autonomy, innovation, continuous learning, and practical technology impact.

Design and implement AI-agent architectures and LLM pipelines for new AI-native products. Integrate language models with ERP data and enterprise systems to enable intelligent workflows and automation. Define and implement RAG, embeddings, memory, and agent-orchestration strategies. Develop solutions focused on autonomous service, natural-language report generation, fiscal support through legislation interpretation, and automated ERP data auditing. Ensure the quality, security, reliability, and traceability of AI solutions throughout their lifecycle. Translate business and product requirements into practical technical architectures and implementations. Collaborate closely with product and R&D teams to explore, prototype, and deliver AI capabilities. Work independently on technically complex initiatives while identifying opportunities for continuous improvement. Requirements Solid professional experience working with large language models, including platforms such as OpenAI, Anthropic, Gemini, or comparable technologies. Strong hands-on experience with AI-agent frameworks such as LangChain, LangGraph, CrewAI, or AutoGen. Proficiency in Python and experience building production-oriented AI solutions. Practical experience with Retrieval-Augmented Generation (RAG), embeddings, and vector databases. Knowledge of REST APIs and experience integrating AI solutions with business systems. Ability to design and implement complex AI architectures with a high degree of autonomy. Strong problem-solving skills and the ability to translate business needs into scalable technical solutions. Nice to have: experience with MCP (Model Context Protocol). Nice to have: knowledge of Java or experience integrating with legacy systems. Nice to have: previous experience in the public sector or other regulated industries. Benefits Health insurance through Unimed. Dental insurance through Dental Uni. Life insurance. Private pension plan. Childcare assistance. iFood Card for meal and food expenses. Annual birthday bonus. Annual day off to take time for yourself. Online healthcare services through Fleury. Wellhub access to fitness and wellness facilities. Travel discounts and benefits through OnHappy. Discounts through Colmeia Shop. Partnerships with educational institutions to support professional development. Career growth opportunities and opportunities to develop new skills. Remote work model. Full-time employment.

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