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Artefact

Data and AI-driven business transformation consulting

Senior AI Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeSão Paulo, State of São Paulo, BrazilNo salary listed

About the Job

Requirements

  • Have completed personal, academic, or internship projects using Python or JavaScript/TypeScript.
  • Have a strong interest in artificial intelligence, particularly large language models such as ChatGPT, Claude, or Mistral.
  • Have some familiarity, including through small personal projects, with LangGraph, LangChain, and concepts such as agents and retrieval-augmented generation.
  • Be able to consume REST APIs and build simple back-end and/or front-end flows.
  • Have advanced or fluent Portuguese and English proficiency; both languages are required.

Responsibilities

  • Create AI application prototypes across the back end and front end using tools such as GPT-4, LangChain, or LangGraph.
  • Work with libraries such as Vercel AI SDK to build simple interfaces that communicate with models in real time, such as chatbots.
  • Learn and apply Model Context Protocol concepts to enable AI models to use external tools such as calculators, APIs, or databases in a controlled way.
  • Support the creation of AI assistants that execute tasks, rather than only answer questions.
  • Collaborate with other developers and learn what works when putting AI into production.

About the Company

Artefact

Data and AI-driven business transformation consulting

Artefact helps organizations use data and AI to transform their operations and decision-making. It provides end-to-end services across the data value chain, from strategy and data platform implementation to governance, advanced analytics, and sector-specific AI tools, delivered through consulting and project execution. The company works with industries like FMCG, retail, and luxury goods to optimize marketing performance, customer engagement, and ROI. Artefact differentiates itself by combining consulting expertise with data science and AI capabilities across multiple regions, offering integrated, sector-focused solutions rather than just advisory services. The main goal is to help clients adopt data-driven approaches to improve efficiency, decision quality, and marketing results at scale.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Paris, France
Founded
1998

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