Software Engineer, AI-Native – Python Expertise

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Develop software in an AI-native manner, steering agents and LLMs based on specifications while maintaining complete technical ownership of the results.

• Define, orchestrate, review, and take responsibility for the code created by both humans and agents.

• Lead the Spec-Driven Development process, transforming requirements into executable specifications and contextual artifacts such as /specify and /plan.

• Adjust AI's progressive autonomy in relation to risk and the maturity of the context.

• Engage in Augmented Pull Requests, assessing syntax, intent, acceptance criteria, technical decisions, and functional implications.

• Contribute to the knowledge layer and reusable contexts, including skills, patterns, architectural decisions, and connectors/MCPs.

• Implement architectural and engineering best practices to produce clean, testable, and maintainable code in both monolithic and distributed systems.

• Aid in automated testing and observability, including monitoring the quality and cost of AI outputs.

• Minimize rework and technical debt.

• Collaborate in value-driven teams utilizing agile methodologies, including code review, pair programming, and mob programming.

• Share insights and receive mentorship from seasoned professionals.

• Partner with the largest construction firm in Latin America, contributing to digital solutions, GenAI, Low Code, and AI tools for the organization.

⛳️ Requirements

• At least 3 years of experience in software development.

• Strong expertise in Python and proven ability to work with various technologies using AI support.

• Full-stack experience is advantageous.

• Proficiency in Spec-Driven Development: crafting clear specifications, breaking them down into verifiable plans, and establishing acceptance criteria.

• Context Engineering for LLMs: formulating instructions, constraints, examples, tool/MCP selection, and managing context-window control.

• Ethical application of Generative AI and agentive tools in development, with systematic human oversight.

• Capability to assess, validate, and amend AI-generated and third-party code.

• Skill in writing high-quality, well-structured, and testable code, with a solid understanding of OOP and design principles.

• Experience with automated unit and/or integration testing.

• Familiarity with Git for version control and collaboration through Pull Requests.

• Knowledge of SQL databases and fundamentals of data modeling.

• Experience with agile methodologies: Scrum, Kanban, or XP.

• Plus: experience in agent orchestration and MCPs/connectors; evaluation and observability of AI output; distributed architectures, microservices or messaging; CI/CD; cloud and containers; LlamaIndex; LangChain; RAG; Tools; MCP; Streamlit; asynchronous and parallel processes and queues; Pandas; N8N; SAP HANA automation; GCP; Azure DevOps.

• Strong written specification abilities, critical thinking, comfort with ambiguity and delegation, autonomy, clear communication, collaboration, adaptability, and ownership of the product and team.

🏝️ Benefits

• No specific benefits, perks, or additional compensation are mentioned in the job listing.

• The role is also available to candidates with disabilities (PwD).