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RD Station

Senior Artificial Intelligence Engineer

RD Station

Senior AI Engineer developing robust AI solutions integrated with marketing and CRM systems at RD Station. Collaborating with teams to enhance user experience through innovative AI capabilities.

Posted 7/20/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in developing and scaling AI solutions, with a strong focus on LLMOps, prompt engineering, and model evaluation. Proficient in integrating AI with Marketing, CRM, and Conversations solutions while ensuring high performance and user experience.

Highest-signal resume keywords
LLMOps ExperiencePython ProficiencyAI Frameworks KnowledgeCloud Environment ExperienceModel Evaluation Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI Product Lifecycle ManagementPrompt EngineeringModel Evaluation MechanismsAPI IntegrationData Source Integration
Soft Skills
Collaborative CommunicationAgile Methodology Adaptability
Tools & Technologies
Google Cloud PlatformFastAPILangChainLangGraphPhoenixLangFusePromptfoo
Certifications & Qualifications
Degree in Computer ScienceDegree in EngineeringDegree in Statistics
Industry Keywords
Natural Language ProcessingAI SolutionsUser-Centered ProductsPerformance MetricsSystemic Integration

Tech Stack

Tools & technologies
CloudGoogle Cloud PlatformPython

About the role

Key responsibilities & impact
  • You will be a key contributor to the evolution of the AI Copilot, integrating our Marketing, CRM and Conversations solutions to deliver a seamless natural language experience.
  • Your role will be to develop and scale robust AI solutions, adopting best practices in LLMOps to ensure response consistency and systemic quality, while actively collaborating with the team to make our AI behave like a true persona, transforming how our customers interact with our products.
  • Develop, maintain and scale AI solutions, integrating with various data sources via APIs, MCPs and document stores.
  • Implement advanced prompt management strategies (prompt engineering) and A/B testing to ensure the AI acts with the desired persona, maintaining consistency and accuracy in responses.
  • Create robust evaluation mechanisms (Evals) that enable continuous measurement of AI performance, prevent regressions and ensure the quality of the user experience.
  • Collaborate with the engineering team on the systemic integration of models with our products (Marketing, CRM and Conversations), focusing on low latency and scalability.
  • Monitor model usage and performance metrics, proposing architectural improvements and technical optimizations that raise the level of our artificial intelligence.

Requirements

What you’ll need
  • Degree in Computer Science, Engineering, Statistics or related fields.
  • Solid experience with the full lifecycle of AI products (LLMOps), with hands-on experience deploying them to production.
  • Proficiency in Python and experience with AI frameworks and libraries (FastAPI, LangChain, LangGraph, Phoenix, LangFuse, Promptfoo, etc.).
  • Hands-on experience with cloud environments (Google Cloud Platform), including orchestration and compute services.
  • Analytical capability to design model evaluation flows and refine prompts.
  • Collaborative and communicative profile, comfortable moving between technical challenges and building user-centered products.
  • Desire to work in an agile environment, with a focus on diversity and on solving real problems involving large volumes of data and interactions.

Benefits

Comp & perks
  • Holistic Well-Being: We take care of the people who make evolution happen. We pursue the holistic well-being of each employee through programs and benefits that provide self-care resources across five pillars: Emotional, Financial, Physical, Occupational and Social.
  • Plurality and Belonging: Diversity is what makes us strong. We actively promote inclusion and belonging, ensuring TOTVS is a place where you can be yourself. Our expertise is human and living: we embrace differences to empower businesses both inside and outside the company.