About The Position

We are looking for a Senior AI Data Product Engineer to scale with us. At Escale, technology, data, and Artificial Intelligence are at the core of our strategy. We develop solutions that transform complex digital acquisition journeys into more intelligent, efficient, and scalable experiences. Here, we work with an AI First mindset, data-driven decisions, and autonomy to propose and evolve solutions in production. We value engineering excellence, collaboration among specialists, and protagonism in building robust and scalable systems. If you are driven by challenges, enjoy thinking about architecture, and want to transform technology into real impact, your next step can start here. #BePartOfTheScale: come find out what we expect from you. About the team: In this position, you will be part of the Data Products team, focused on developing and scaling AI-driven data products, such as conversational solutions and intelligent agents. Our mission is to go beyond traditional analytics, integrating technology, product, and business to deliver robust systems that automate processes, accelerate decision-making, and generate direct operational efficiency for Escale.

Requirements

  • Experience in conducting end-to-end projects with autonomy.
  • Experience in developing applications with LLMs (OpenAI, Anthropic, Gemini, or similar), including prompt engineering, RAG, and fine-tuning.
  • Deep knowledge of RAG and context retrieval architectures.
  • Experience with building autonomous agents and multi-agent systems (LangChain, LangGraph, CrewAI, AutoGen, or equivalents).
  • Proficiency in advanced Python and SQL, with a solid understanding of data modeling for AI product consumption.
  • Experience with cloud architecture (AWS, GCP, or Azure) for deploying and operating AI products in production.
  • Sharp product vision: ability to connect business opportunities with technical data solutions (focus on value, not just engineering).
  • Experience with business metrics, impact analysis, and building data products or analytical platforms used by end-users.

Nice To Haves

  • Experience with modern data stack (dbt, Airflow, Databricks - Delta, Lakehouse, LookML) and consumption of structured data by agents.
  • Experience with LLMOps and AI observability tools in production (LangSmith, Weights & Biases, Arize, or similar).
  • Knowledge in vector databases (Pinecone, Weaviate, pgvector) and semantic search architectures.
  • Previous experience in Growth, CRM, Sales, or Digital Operations environments.
  • Experience with data governance and quality practices applied to AI products (data contracts, data quality monitoring).
  • Practical experience in experimentation and A/B testing.

Responsibilities

  • Identify business opportunities that can be solved through data products and AI.
  • Work closely with Sales, CRM, Operations, Product, and Engineering areas to understand problems and opportunities.
  • Conduct discovery and validation of hypotheses for new data products.
  • Design and develop Artificial Intelligence-based products, intelligent agents, and automations.
  • Build conversational solutions for data exploration and insight generation.
  • Develop agents capable of monitoring performance, identifying deviations, and executing corrective actions.
  • Define success metrics and track the value generation of developed products.
  • Ensure quality, observability, reliability, and governance of data products.
  • Influence standards and best practices for developing AI data products.
  • Act as a technical reference for the team in topics related to Data Products and Artificial Intelligence.
  • Rapidly prototype new solutions and conduct business experiments.
  • Connect the company's strategic objectives with practical AI application opportunities.

Benefits

  • Flexible Meal and Food Voucher (iFood)
  • Health and Dental Assistance
  • Childcare Assistance
  • Extended Parental Leaves
  • Partnership with discounts for Pet Care
  • Life Insurance
  • Incentive and partnerships for exclusive discounts on specializations at FIAP, APETI, and SENAC
  • Totalpass
  • Internal psychological support
  • Partnership with SESC
  • Wellhub
  • Telemedicine and exams (Starbem, Avus, and Dasa)
  • Discounts at partners
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