Agrofel

Full-stack Engineer

• Manage the technical development team, assigning tasks and monitoring performance.
• Provide continuous feedback and foster the professional development of the team.
• Provide technical leadership for the evolution and maintenance of corporate systems.
• Ensure performance, security, scalability and alignment with business processes.
• Act as a technical reference for developers and analysts.
• Conduct code reviews and enforce quality standards such as Clean Code and SOLID.
• Design and maintain integration architectures between internal systems and external platforms.
• Work with integrations via REST APIs, messaging and microservices.
• Plan and lead system implementation, migration and modernization projects.
• Apply agile methodologies such as SCRUM in delivery management, running agile ceremonies like dailies, plannings, reviews and retrospectives.
• Define and monitor CI/CD pipelines in Azure DevOps.
• Manage critical incidents and coordinate technical efforts internally and with external parties.
• Ensure availability, operational reliability and compliance with SLAs.
• Evaluate deliveries from vendors and technology partners.
• Ensure compliance, governance and adherence to defined technical standards.
• Document architectures, APIs and integration flows, ensuring continuity of technical knowledge and information governance.
• Foster technological innovation by evaluating new tools, frameworks and solutions.
• Encourage the use of Artificial Intelligence tools for productivity gains, task automation and software development support.
• Promote best practices in automated testing, including unit, integration and end-to-end validation.
• Ensure the quality and reliability of deliveries through testing strategies, code review and continuous integration.
• Promote a culture of continuous improvement, innovation and technical excellence within the development team.

Tech Lead – Corporate Systems and Integrations

Artificial Intelligence

• Develop, train and optimize Machine Learning and Generative AI models (including LLMs and RAG pipelines) to solve real business problems.
• Evaluate and select the best technical approaches for each challenge, focusing on outcomes and scalability.
• Design and implement autonomous agents and AI-driven automations, ensuring quality, traceability and efficiency across end-to-end workflows.
• Ensure deployment, monitoring and maintenance of models in production with a focus on performance, stability and scalability.
• Apply modern MLOps practices: CI/CD, data/model versioning, experiment tracking and safe rollback strategies.
• Act as a technical reference within the team, supporting complex architectural decisions and raising the technical level of data and AI engineering colleagues.
• Collaborate with business, product and engineering teams to translate requirements into viable, high-impact technical solutions.
• Promote a culture of quality, security and governance in AI development, ensuring best practices for access control and metadata management.
• Contribute to the creation of documentation, standards and processes that increase the team’s analytical maturity and productivity.

AI Engineer, Senior

• Develop and maintain fullstack applications using Node.js, TypeScript and Vue.js, ensuring clean, reusable and high-quality code.
• Design and implement robust, scalable APIs following REST standards and architectural best practices.
• Work on modeling, development and optimization of PostgreSQL databases, ensuring data integrity and performance.
• Actively participate in technical and architectural definitions of solutions, contributing to technology decisions and system design.
• Build modern, responsive and highly usable user interfaces using Vue.js.
• Integrate applications with AWS cloud services (such as EC2, S3, RDS, Lambda, among others), ensuring scalability and resilience.
• Apply development best practices, including automated testing, code versioning (Git) and code reviews.
• Identify and resolve technical issues, bugs and performance bottlenecks.
• Collaborate with product, design and other technology teams to ensure alignment and quality of deliveries.
• Contribute to the continuous development of the team by sharing knowledge and supporting less experienced developers.
• Participate in agile ceremonies (Scrum/Kanban), ensuring organization and predictability in deliveries.

Tech Lead – Corporate Systems and Integrations

AI Engineer, Senior

Senior Fullstack Developer