Software Engineer, AI-Native

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

📋 Description

• Develop software in an AI-native manner, guiding agents and LLMs based on specifications while taking complete technical responsibility for the results.

• Lead the Spec-Driven Development process, transforming requirements into actionable specifications and contextual artifacts.

• Adjust the AI’s level of autonomy based on risk factors and the maturity of the context.

• Engage in the Augmented Pull Request ritual, evaluating syntax, intent, acceptance criteria, technical choices, and functional implications.

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

• Implement architectural and engineering best practices to produce clean, testable, and maintainable code within monolithic and/or distributed systems.

• Support automated testing, enhance observability of AI output quality and costs, and adopt practices to minimize rework and technical debt.

• Collaborate within teams utilizing agile methodologies, including code reviews, pair programming, and mob programming.

• Share knowledge and receive guidance from more experienced professionals.

⛳️ Requirements

• Proficient writing and specification capabilities.

• Strong critical thinking and technical skepticism.

• Ability to navigate ambiguity and delegate effectively.

• Demonstrated autonomy and ownership in work.

• Clear communication regarding requirements, technical decisions, and trade-offs.

• Team collaboration, respect, and adaptability.

• Minimum of 3 years in software development.

• Strong proficiency in at least one technology stack between .NET and React, with the capacity to adapt to others with AI support.

• Experience in Spec-Driven Development, including unambiguous specifications, verifiable plans, and acceptance criteria.

• Familiarity with Context Engineering for LLMs, which encompasses instructions, constraints, examples, tools/MCPs, and context-window control.

• Responsible utilization of generative AI and agentive tools in software development.

• Ability to critically read, verify, and amend code generated by AI and third parties.

• Capability to write organized, testable, and high-quality code, with strong knowledge of object-oriented principles and design.

• Experience with automated unit and/or integration testing.

• Proficient in using Git and collaborating through Pull Requests.

• Experience with SQL databases and foundational data modeling principles.

• Familiarity with agile methodologies such as Scrum, Kanban, or XP.

• Nice-to-have: experience in orchestrating agents and MCPs/connectors.

• Nice-to-have: skills in evaluating and observing AI outputs and model-agnostic architectures.

• Nice-to-have: experience with distributed architectures, microservices, or messaging systems.

• Nice-to-have: knowledge of CI/CD, build and release automation.

• Nice-to-have: familiarity with cloud technologies, Docker, Kubernetes, and Python.

🏝️ Benefits

• This position is also available to individuals with disabilities (PwD).

• Comprehensive training program.

• Leadership development school.

• Partnerships with NGOs and Edtech organizations.

• Membership in the Orange Juice tech community.

• A collaborative learning environment with mentorship from seasoned professionals.