AI Engineer (Mid Level Developer Backend Java)

Jobgether SRL; United States; Hybrid; USD 24,000 - 36,000; Full time

Benefits offered by this job

Health benefits

Meal vouchers

Childcare support

Extended parental leave

Wellness programs

Profit-sharing

Life insurance

Learning platform access

Employee discounts

Language learning

Pregnancy resources

Job summary

Jobgether SRL is seeking a skilled backend developer to build scalable Java/Spring Boot applications and integrate AI features across the software lifecycle. You’ll work remotely within Brazil, with mandatory attendance at Campinas offices per policy and collaborate with cross-functional teams in an Agile environment.

The role emphasizes RESTful APIs, microservices, SQL/NoSQL data handling, and modern DevOps practices using Docker and Kubernetes to ensure reliable deployments and robust testing.

Qualifications

• Backend development with Java and Spring Boot.
• RESTful API design and microservices experience.
• Experience with SQL/NoSQL databases and messaging systems like Kafka or RabbitMQ.
• Familiar with automated testing using JUnit and Mockito.
• Experience with Docker, Kubernetes and CI/CD pipelines.
• Able to collaborate in agile teams and translate business needs into technical solutions.

Responsibilities

• Contribute to all phases of SDLC, ensuring high-quality deliverables.
• Develop and maintain backend systems and RESTful APIs with Java/Spring Boot.
• Integrate AI/LLM solutions into workflows and tooling.
• Refine requirements and estimate time/resources in agile ceremonies.
• Design data flows using SQL/NoSQL and messaging systems like Kafka/RabbitMQ.
• Support testing, code reviews, and adherence to Clean Code practices.
• Enable CI/CD and containerized deployments with Docker/Kubernetes.
• Troubleshoot complex issues and maintain thorough documentation.

Skills

Java

Spring Boot

RESTful APIs

Microservices

AI integration

CI/CD

Automated testing

Agile

SQL/NoSQL

Messaging systems

Tools

Docker

Kubernetes

Kafka

RabbitMQ

JUnit

Mockito

Job description

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.