AI Engineer – New Verticals

Job not on LinkedIn

🔥 14 hours ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

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Logo of Grupo Protege

Grupo Protege

10,000+ employees

Founded 1971

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Grupo Protege is an AI training data platform that connects AI developers with high-quality, ethically sourced training data. It serves both AI developers by providing a vast and rich collection of data for model training and data holders by enabling them to monetize their data while maintaining governance and control. The platform aims to streamline the data procurement process significantly, making it easier for developers to access the data they need efficiently.

📋 Description

• Partner with the GM and early customers to define the vertical’s technical needs • Build reusable patterns, integrations, tooling, infrastructure, workflows, and an initial MVP for the new vertical • Make architectural decisions about platform-layer versus vertical-specific tooling • Create the initial technical playbook for future FDEs • Lead first customer engagements from technical scoping through delivery and post-launch support • Write robust, maintainable code that solves customer problems and compounds into reusable infrastructure • Translate customer requirements into durable systems • Identify patterns, infrastructure gaps, and product opportunities from live engagements • Partner with Product and Engineering to elevate proven capabilities into the core platform • Define the vertical’s technical strategy and commercial approach with the GM or Solutions Lead • Partner with Data Lab on domain-specific data and research questions • Collaborate with other FDEs on shared patterns, tools, and approaches • Serve as the technical voice of the vertical as it grows

🎯 Requirements

• 3+ years of engineering experience, including meaningful 0→1 work as a founding engineer, early technical lead, or builder in a highly ambiguous environment • Strong engineering generalist instincts with a backend and data orientation • Hands-on experience with Python and SQL • Comfort working across infrastructure, application logic, and data systems • Ability to create structure where none exists and move quickly without a fully defined roadmap • Strong technical judgment, especially around short-term delivery versus long-term architecture • Strong written and verbal communication skills, including the ability to work directly with senior technical and business stakeholders • Ability to independently run technical scoping conversations with customers and translate them into concrete execution plans • Prior founding engineer experience at a successful startup (nice to have) • Experience extending an existing platform into a new domain or use case (nice to have) • Track record of turning customer-specific work into reusable internal infrastructure or product capabilities (nice to have) • Familiarity with ML, NLP, or LLM-based systems (nice to have)

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