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.