AI Software Engineer

Accountabilities:
Drive the evolution of internal software development platforms powered by Artificial Intelligence. Design, develop, and maintain AI-related assets such as Skills, Rules, Agents, and other artifacts used by engineering teams. Create and structure reusable knowledge bases optimized for AI models and Large Language Models (LLMs). Develop technical documentation designed for both engineers and AI consumption. Build automation solutions that reduce manual processes and improve software engineering productivity. Research and evaluate emerging AI technologies, tools, and best practices applicable to software development. Participate in software architecture decisions and contribute to engineering standards and technical guidelines. Support developers in adopting AI-assisted development tools to improve delivery speed and software quality. Share technical knowledge through documentation, training sessions, and practical demonstrations. Contribute to the continuous improvement of engineering practices through innovation and collaboration. Requirements: Bachelor’s degree completed in Computer Science, Information Systems, Engineering, or related fields. Solid experience in software development and software architecture. Hands-on experience working with Large Language Models (LLMs) such as ChatGPT, Claude, Gemini, or similar technologies. Strong experience with prompt engineering and AI-assisted development tools such as Cursor, GitHub Copilot, Windsurf, or equivalent solutions. Experience with Git, REST APIs, process automation, and API design principles. Strong understanding of software engineering best practices and technical documentation. Ability to explore, test, and implement new technologies with a research-oriented mindset. Excellent communication skills, collaboration abilities, and capacity to share technical knowledge. Strong analytical thinking, organization, autonomy, and focus on continuous improvement. Genuine interest in applying Artificial Intelligence to software engineering challenges. Nice-to-have qualifications: Experience with Human Resources and payroll systems. Experience with messaging systems. Participation in technical communities or creation of technical content, articles, or training materials. Postgraduate studies in Software Engineering. AWS or Microsoft Azure certifications. Experience applying productivity methodologies to software engineering teams. Benefits: Fully remote work model with flexibility and autonomy. Continuous training opportunities to support professional growth and keep skills up to date. Meal and food allowance (VA/VR). Comprehensive healthcare coverage. Birthday day off to celebrate special moments. Wellhub (Gympass) membership to support physical and mental well-being. Access to psychological, financial, and legal support programs. SESC benefits focused on leisure, culture, and well-being. Extended paternity leave to provide more time with family.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
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