AI Developer PL / SR (Vaga Afirmativa - Mulheres)

Job description

Accountabilities: In this role, you will be responsible for designing, building, and operating AI-native software development workflows that enhance automation, scalability, and engineering productivity. Develop and maintain applications using technologies such as Angular, Node.js, .NET, Python, Java, or JavaScript, with strong integration of AI-driven workflows Apply Infrastructure as Code practices on AWS and contribute to scalable, cloud-native architectures Design and operate spec-driven development processes where structured specifications guide AI execution Build and orchestrate multi-step AI agents capable of planning, executing tasks, and interacting with tools, APIs, and development environments Integrate AI capabilities across the SDLC, including code generation, testing, debugging, and refactoring in production contexts Create reusable skills, prompt-based interfaces, and structured command systems to optimize engineering workflows Implement and manage integrations with Git, CI/CD pipelines, issue tracking systems, and observability tools Evaluate and ensure quality, safety, and consistency of AI-generated outputs in production environments Requirements: We are looking for a strong software engineer with solid experience in development and a deep understanding of AI-assisted engineering workflows and modern SDLC practices. Experience with backend or full-stack development using technologies such as Angular, Node.js, .NET, Python, Java, or JavaScript Solid knowledge of AWS cloud services and Infrastructure as Code (IaC) practices Strong understanding of the software development lifecycle (design, build, test, deploy, operate) Practical experience using AI in software development (code generation, testing, debugging, and refactoring) Familiarity with building or using AI agents with multi-step reasoning and tool usage capabilities Knowledge of workflow orchestration and integration across development and operational tools Experience working with Git, CI/CD pipelines, and observability platforms Strong analytical mindset with ability to critically evaluate AI outputs for quality, safety, and reliability Ability to work in structured, specification-driven development environments Strong communication skills and collaborative mindset Benefits: Health and dental insurance coverage Meal and food allowances Childcare assistance and extended parental leave Partnerships with wellness platforms such as Gympass/TotalPass Profit-sharing program (PLR) Life insurance coverage Continuous learning platform and professional development programs Discounts platform and exclusive employee benefits Language learning platform access Mental, physical, and wellness support initiatives 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! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 This position is posted by Jobgether on behalf of a partner company. We are currently looking for a AI Developer PL / SR (Vaga Afirmativa - Mulheres) in Brazil. This role is designed for professionals who operate at the intersection of software engineering and AI-driven development, embedding artificial intelligence directly into the software delivery lifecycle. You will work on building and orchestrating AI-powered workflows, including multi-step agents that interact with tools, APIs, repositories, and CI/CD pipelines in production environments. The position requires a strong engineering mindset, with a focus on structuring specifications that guide AI systems, ensuring quality, safety, and reliability of outputs. You will contribute to scalable digital solutions in a global environment where AI is not just a tool but a core part of the development process. The role involves close collaboration with cross-functional teams to evolve modern SDLC practices, automate complex workflows, and integrate intelligent systems into enterprise platforms. It is a highly innovative space where engineering excellence and AI fluency come together to reshape how software is built and delivered.