Jobs in Belo Horizonte, Brazil

About Grupo QuintoAndar

We are Grupo QuintoAndar, the largest real estate ecosystem in Latin America. Guided by a shared purpose of helping people love where they live, we have a diversified portfolio of brands and solutions across different countries in Latin America, covering all phases of the housing journey. We also have a Technology Hub in Portugal. We develop technology and innovation to transform and enhance the overall living experience.

With the support of a world‑class team of investors and advisors, including Kaszek, Qualcomm, General Atlantic, and SoftBank, Grupo QuintoAndar is currently valued at over USD 5.1 billion and continues to grow year over year.

Our technology team operates under a remote‑first model, which means we work from home and can live anywhere in Brazil. We also offer the option of working from our São Paulo offices or partner coworking spaces, up to twice a week.

• Application
• Interview with Recruiter
• Interviews with Data Team
• Leadership & Management
• Offer

You will lead a small, senior team of Data Scientists and Machine Learning Engineers at the forefront of QuintoAndar’s AI strategy. This team is focused on a high‑impact, high‑visibility mission: creating the company’s next‑generation, comprehensive AI assistant.

This role places you at the center of executing our 2026 central AI vision. You will have the opportunity to make a significant impact and gain immediate visibility across the entire company as you pioneer the systems that will redefine our user and employee experiences.

As a Tech Lead Manager (TLM), you will balance hands‑on technical work with managerial responsibilities, having the opportunity to make a significant impact through both technical excellence and strategic leadership.

• Lead a small team of Data Scientists and Machine Learning Engineers to build solutions based on AI/ML.
• Lead the team developing platform solutions for all conversational chatbots at QuintoAndar.
• Serve as a technical reference to the team, including doing hands‑on engineering work.
• Shape the technical direction of our products, translating business requirements into solutions.
• Discuss business requirements with the Product Manager and other stakeholders.

• Solid understanding of the engineering challenges of deploying machine learning systems to production.
• Solid understanding of systems, software and data engineering best practices.
• Proficiency with cloud‑based services.
• Proficiency in Python or another major programming language.
• Up‑to‑date knowledge of recent advances in Machine Learning Engineering and willing to share knowledge with the Data and AI Chapter.
• Excellent written and verbal technical communication skills.
• Experience building backend systems, event‑driven architectures and REST/HTTP applications.
• Experience building solutions with LLMs (RAG, fine‑tuning).
• Experience building AI agents and AI‑powered applications, familiarity with agentic frameworks (LangGraph, LangChain, AutoGen, CrewAI).
• Experience leading teams and managing careers.

• Have a general understanding of machine learning concepts: regression and classification, clustering, neural networks, feature selection, cross‑validation, curse of dimensionality, bias‑variance tradeoff, model explainability, etc.
• Have experience working at fast‑growing startups.
• Have a track record implementing scalable and durable solutions.
• Have solid experience with Data.

• Profit sharing
• Health insurance
• Life insurance
• Home office allowance
• Employee assistance program (mental health, social, legal, and financial support)
• Extended parental leave
• Day off on birthday, Mother’s Day, and Father’s Day
• Benefits Club (discounts on everyday services)
• Discounts at educational institutions

We value diversity and want everyone to feel welcome here, regardless of age, gender identity, sexual orientation, race, color, ethnicity, origin, disability, religion, or any other characteristic. All our job openings are open to all individuals!

The Grupo QuintoAndar operates in compliance with privacy and data protection laws, including, but not limited to, the Brazilian General Personal Data Protection Law (LGPD) (Law No. 13 709/2018), and ensures the security of your data. To learn more, please access our Privacy Notice for Candidates. For questions or to exercise your rights as a data subject, please contact us through our Service Channel.