AI Engineer (Mid Level Developer Backend Java)

Accountabilities • Software Development Lifecycle (SDLC): Contribute to all phases of software development, including planning, requirements analysis, architectural design, coding, testing, deployment, and ongoing maintenance, ensuring high-quality deliverables.

• Backend Development and AI Integration: Design, develop, and maintain resilient backend systems and RESTful APIs using Java and Spring Boot, integrating applications with Large Language Models (LLMs) and Generative AI solutions.

• AI-Powered Workflow Optimization: Implement and optimize algorithms, automation processes, and AI-assisted coding tools to streamline development activities, including code generation, automated testing, and technical documentation.

• Requirements Analysis and Collaboration: Participate in requirements refinement sessions, translate business needs into effective technical solutions, and collaborate with cross-functional teams during agile ceremonies, contributing to estimates of time and resources.

• Architecture, Messaging, and Data Management: Apply established architectural principles, including microservices and design patterns, while developing efficient data flows using SQL and NoSQL databases and messaging systems such as Kafka or RabbitMQ.

• Code Quality and Testing: Maintain software reliability through automated unit, integration, and end-to-end testing, using tools such as JUnit and Mockito. Participate in code reviews and apply Clean Code principles and established engineering standards.

• DevOps and Continuous Delivery: Work with containerized environments using Docker and Kubernetes, supporting CI/CD practices to enable reliable deployments and seamless integration of new technologies.

• Troubleshooting and Observability: Investigate, diagnose, and resolve complex technical issues involving code, data, and production environments.

• Documentation and Continuous Improvement: Maintain clear technical documentation, share knowledge, and stay informed about emerging technologies and industry best practices to continuously improve solutions and workflows.

Requirements:

• Professional Experience: Relevant experience in backend software development with Java, ideally using Spring Boot to build scalable, maintainable, and high-performance applications.

• Backend Technologies: Solid knowledge of RESTful API development, microservices architecture, and common software design patterns.

• Artificial Intelligence: Interest in or experience with Generative AI, Large Language Models (LLMs), and AI-assisted development tools, including their practical application across the software development lifecycle.

• Databases and Messaging: Experience working with SQL and NoSQL databases, as well as messaging technologies such as Kafka or RabbitMQ.

• Testing and Code Quality: Familiarity with automated testing practices, including unit, integration, and end-to-end testing, and tools such as JUnit and Mockito. Understanding of Clean Code principles and code review practices.

• DevOps and Infrastructure: Experience with Docker, Kubernetes, CI/CD pipelines, and containerized development or deployment environments.

• Agile Methodologies: Ability to collaborate effectively in agile teams, participate in refinement sessions, contribute to technical estimates, and translate business requirements into functional solutions.

• Analytical and Problem-Solving Skills: Strong critical thinking and troubleshooting abilities, with the capacity to investigate complex technical problems and deliver effective solutions.

• Communication and Collaboration: Clear communication skills, a collaborative mindset, and the ability to document technical decisions and work effectively with different stakeholders.

• Continuous Learning: Proactive approach to professional development, with a strong interest in emerging technologies, AI innovation, and software engineering best practices.

• Location and Work Arrangement: Must be based in Brazil. The position is remote; however, candidates residing in the Campinas Metropolitan Region are required to attend the local offices in accordance with the applicable attendance policy.

Benefits:

• Comprehensive medical and dental insurance.

• Meal and food vouchers.

• Childcare assistance.

• Extended parental leave.

• Access to fitness facilities and health and wellness professionals through Wellhub and TotalPass.

• Profit-sharing program (PLR).

• Life insurance.

• Access to a continuous learning platform offering professional development opportunities.

• Discounts through a dedicated employee benefits club.

• Free online resources focused on physical health, mental well-being, and overall wellness.

• Courses supporting pregnancy, parenthood, and responsible parenting.

• Partnerships with online learning platforms.

• Access to language-learning platforms.

• Additional employee benefits, learning opportunities, and well-being 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