Artificial Intelligence Engineer

🔥 16 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Dadoteca

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Dadoteca is a Brazilian data consultancy that transforms data into actionable knowledge through Business Intelligence, Advanced Analytics, Artificial Intelligence, automation, and data architecture & governance. As a Microsoft Gold Partner for Data Analytics and a Databricks Consulting Partner, Dadoteca delivers consulting and outsourcing services using Power BI, Azure, SQL Server and Python for clients across sectors (energy, retail/shopping centers, healthcare) in Brazil and internationally. The company focuses on tailored implementations, dashboards, ETL pipelines, automation and AI-driven solutions to improve strategic decision-making and operational performance.

📋 Description

• Design, develop, and enhance Artificial Intelligence, Machine Learning, and Generative AI solutions • Develop applications using LLMs, RAG, and AI agents to automate processes and generate insights • Create and maintain APIs, backend services, and integrations with enterprise systems • Integrate AI solutions with databases, APIs, internal systems, and knowledge bases • Support the development of data pipelines, embeddings, and semantic search mechanisms • Contribute to architecture, scalability, security, and engineering best-practice decisions • Support the deployment, monitoring, and continuous improvement of AI models and applications in production • Collaborate with Product, Data, Engineering, and Business teams to deliver high-impact solutions

🎯 Requirements

• Experience with Artificial Intelligence, Machine Learning, or Generative AI • Knowledge of LLMs, prompt engineering, and generative model APIs • Experience developing with Python and creating APIs and backend services • Knowledge of relational and/or NoSQL databases • Familiarity with RAG, embeddings, vector databases, or semantic search • Knowledge of data architecture, pipelines, and cloud environments • Familiarity with Git, Docker, and software engineering best practices • Experience with AI agents and multi-agent systems • Knowledge of frameworks such as LangChain, LangGraph, Semantic Kernel, or similar technologies • Familiarity with MLOps, LLMOps, observability, and evaluating LLM-powered applications • Knowledge of platforms such as Azure OpenAI, Azure AI Foundry, AWS Bedrock, Vertex AI, or similar technologies • Knowledge of MCP, security, governance, and Responsible AI • Analytical thinking and problem-solving skills • Systems thinking and the ability to translate business needs into technical solutions • Strong communication and collaboration skills when working with multidisciplinary teams • Organization, proactivity, and a focus on delivering value • Ability to learn and adapt quickly to new technologies