Want to be part of a team that creates opportunities and drives evolution?

Through an ecosystem of over 12,000 nonconformist people who, together, offer solutions, products, and educate the market. We act as a Single TOTVS, integrating different solutions and expertise to educate the market and simplify the business world. For us, evolution is constant and happens from person to person: we use our restlessness to anticipate trends and transform the real growth of technology.

HI + AI (Human Intelligence + Artificial Intelligence): We believe that technology empowers, but people direct. Here, AI gives us scale and efficiency, while our Human Intelligence brings strategy, context, and care. It is this combination that allows us to create innovative solutions with a real purpose.

Protagonism and Evolution: We are driven by continuous learning and the courage to take charge of our own careers. Here, we encourage restlessness and offer a fertile environment for those who want to grow, create, and transform.

Responsible Results: We value the freedom to act and responsibility for the whole. Here, you have a voice to challenge the status quo and autonomy to pursue results that generate real value for our clients and for society.

‍♀️Integral Well-being: We care for those who drive evolution. We seek the integral well-being of each employee, through actions and benefits that provide self-care resources through 5 pillars: Emotional, Financial, Physical, Occupational, and Social.

Plurality and Belonging: Diversity is what makes us powerful. We actively promote inclusion and belonging, ensuring that TOTVS is a place where you can be who you are. Our expertise is human and alive: we embrace differences to empower businesses inside and outside the company.

Your challenge on the team:

You will be a fundamental piece in the evolution of the AI Copilot, integrating our Marketing, CRM, and Conversational solutions to provide a fluid experience through natural language. Your work will be to develop and scale robust AI solutions, adopting LLMOps best practices, ensuring response consistency and systemic quality, while actively collaborating with the team so that our AI acts as a true persona, transforming how our clients interact with our products.

Your main deliveries:

• Develop, maintain, and scale AI solutions, performing integrations with various data sources with APIs, MCPs, and document bases.
• 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 allow for continuous measurement of AI performance, preventing regressions and ensuring the quality of the user experience.
• Collaborate with the engineering team on the systemic integration of models with our products (Marketing, CRM, and Conversational), focusing on low latency and scalability.
• Monitor model usage and performance metrics, proposing architectural improvements and technical optimizations that elevate the level of our artificial intelligence.

Profile we are looking for:

• Graduation in Computer Science, Engineering, Statistics, or related fields.
• Solid experience with the complete lifecycle of AI products (LLMOps), with practical experience in putting them into production.
• Proficiency in Python and experience with AI frameworks and libraries (FastAPI, LangChain, LangGraph, Phoenix, LangFuse, Promptfoo, etc.).
• Practical experience with cloud environments (Google Cloud Platform), including orchestration and computing services.
• Analytical capacity for designing model evaluation flows and prompt refinement.
• Collaborative and communicative profile, with ease in transitioning 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 with large volumes of data and interactions.

It will be considered a differential:

• Previous experience with developing agents or conversational systems (LLMs).
• Knowledge of RAG (Retrieval-Augmented Generation) techniques and inference optimization.
• Experience with quality evaluation tools and conversational AI agent experiments.

Selection process stages:

• Application - Submission of application;
• Mindsight – Work style assessment;
• Talent Acquisition - Competency-based interview with the recruitment team;
• Final Interview - Final conversation with management for alignment;
• Offer - Finalization phase of the selection process, with the presentation of the job offer.

Note: There may be complementary stages and/or alterations, according to the needs of the process.

We are committed to the security of your data! In our Privacy Notice, we describe what data we collect, how it is used and stored, in compliance with the LGPD.

If you are a person driven by challenges, creativity, and genuine impact, advance with us on this journey of evolution!

Be part of our team!