Engenheiro de Software AI-Native (Dominio em Python)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Engenheiro de Software AI-Native (Domínio em Python) based in Brazil. This role offers the opportunity to build software using an AI-native engineering approach, combining strong Python expertise with generative AI and agentic technologies. You will help transform business challenges into scalable digital products that can impact thousands of users across a large organization. The position sits at the intersection of software engineering, AI orchestration, automation, and product thinking. You will work with LLMs and AI agents while maintaining full technical ownership of the solutions delivered. A key part of the role is turning requirements into precise specifications, reusable contexts, testable plans, and reliable software. You will operate in a collaborative, agile environment where experimentation, critical thinking, and continuous learning are highly valued. This is an ideal opportunity for a strong Python engineer who wants to help shape how AI-native software is designed, built, tested, and operated. Develop software using an AI-native approach , orchestrating agents and LLMs from clear specifications while maintaining full technical responsibility for the final outcome. Lead Spec-Driven Development , translating business and technical requirements into executable specifications, implementation plans, and clear acceptance criteria. Manage progressive AI autonomy according to risk and context maturity, determining when autonomous generation is appropriate and when human intervention or deeper validation is required. Participate in augmented Pull Request reviews , evaluating not only syntax and implementation but also intent, acceptance criteria, architectural decisions, functional impact, and AI-generated code. Build and maintain reusable knowledge and context assets, including skills, engineering patterns, architectural decisions, connectors, and MCP integrations. Apply sound software architecture and engineering practices to deliver clean, maintainable, testable solutions across monolithic and distributed systems. Develop automated tests and observability practices, including mechanisms to monitor the quality, reliability, and cost of AI-generated outputs. Identify opportunities to reduce rework and technical debt while maintaining a sustainable development pace. Collaborate with Product, Engineering, and other multidisciplinary teams through agile practices such as code reviews, pair programming, and mob programming. Share knowledge, contribute to technical discussions, and continuously improve the team's AI-native engineering practices. Requirements: At least 3 years of professional software development experience , with strong proficiency in Python and the ability to work across other technologies with support from AI tools. Full-stack experience is valued. Strong understanding of Spec-Driven Development , including the ability to write unambiguous specifications, break requirements into verifiable plans, and establish acceptance criteria for both humans and AI agents. Experience with context engineering for LLMs , including instructions, constraints, examples, tool/MCP selection, and context-window management. Practical experience using generative AI and agentic development tools , with sound judgment, critical thinking, and systematic human validation. Ability to critically review and improve code written by AI or other developers with the same rigor applied to personally authored code. Strong programming fundamentals and ability to produce clean, organized, maintainable, and testable code using object-oriented programming and/or sound software design principles. Experience with automated testing, including unit and/or integration testing. Proficiency with Git and collaborative development through Pull Requests. Experience with SQL databases and fundamental data modeling concepts. Fa