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Open nowPosted 33 hours ago

Analista de Inteligência Artificial Jr. (AI Engineer / Agentes & MCP)

Gupy (Portal de Vagas)74,621 open roles

Where
São Paulo, Brazil
Work mode
Hybrid
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Your applicationOpen nowAnalista de Inteligência Artificial Jr. (AI Engineer / Agentes & MCP)Gupy (Portal de Vagas) · São Paulo, Brazil

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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
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  2. 3.5%3 days
  3. 7.8%7 days
  4. 14.6%14 days
  5. 34.0%30 days
This job: posted 33 hours ago

The posting

Você atuará no desenvolvimento e expansão do ecossistema corporativo de agentes de inteligência artificial da empresa. Sua principal missão será desenvolver integrações e ferramentas MCP (Model Context Protocol)  que conectam modelos de linguagem aos nossos sistemas internos (bancos de dados, APIs, ferramentas de chamados), além de configurar, testar e manter agentes autônomos e fluxos de automação em produção.

Responsabilidades e atribuições• Desenvolvimento de Ferramentas MCP (Model Context Protocol): Criar servidores e ferramentas em Python para permitir que os modelos de IA consultem dados em tempo real (PostgreSQL, APIs REST, serviços corporativos).• Engenharia de Prompts e Construção de Agentes: Modelar personas, instruções de sistema, guardrails e competências (skills) em plataformas de chat corporativo (ex: LibreChat) e gateways de mensageria (Microsoft Teams).• Automação e Integrações: Conectar agentes e ferramentas a fluxos operacionais e webhooks (ex: n8n, APIs).• Suporte à Infraestrutura e Deploy: Subir e gerenciar containers de novos agentes e ferramentas utilizando Docker e Docker Compose em ambiente Linux.• Testes e Qualidade (Eval): Realizar baterias de testes práticos de agentes, validando alucinações, execução correta de function calling e consumo de tokens.• Documentação Técnica: Documentar as ferramentas criadas, esquemas JSON das chamadas de ferramentas e guias de uso para outros times.

Requisitos e qualificaçõesPython (Nível Intermediário/Prático):• Facilidade em criar scripts, manipular JSON/dicionários, tratamento de erros e chamadas HTTP (requests, httpx).• Noções de frameworks assíncronos ou web leves (FastAPI, FastMCP ou similares).Fundamentos de Banco de Dados & SQL:• Capacidade de escrever queries SQL (SELECT, JOIN, filtros, agregações) para consulta de dados (PostgreSQL/MySQL).Noções Básicas de Infraestrutura & DevOps:• Conhecimento prático de Linux (navegação em terminal, permissões, manipulação de arquivos, variáveis de ambiente).• Uso prático de Docker & Docker Compose (subir containers, ler logs com docker logs, inspecionar redes básicas).• Versionamento de código com Git (clone, checkout, branch, commit, push, PRs).Familiaridade com LLMs:• Entendimento claro dos conceitos centrais: prompts de sistema vs. usuário, tokens, janelas de contexto, temperatura, embeddings e o conceito de Function Calling / Tools.Diferenciais • Já ter construído ou experimentado com MCP (Model Context Protocol) da Anthropic/open-source.• Experiência com ferramentas de automação visual / no-code para fluxos técnicos (ex: n8n).• Familiaridade com ecossistemas de LLM corporativos (ex: LibreChat, LiteLLM, LangChain, LlamaIndex, CrewAI).• Conhecimento básico sobre RAG (Retrieval-Augmented Generation), busca vetorial (pgvector) ou OpenSearch/Elasticsearch.• Noções de reverse proxy (Nginx, Caddy ou NPM).

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