Unibrix

Unibrix is looking for an experienced Senior Java Developer with strong hands-on expertise in Java and Spring Boot to join a client project in a staff augmentation model.

You will collaborate with an international engineering team and work closely with a Senior Software Architect to support backend development, maintain high code quality, and contribute to the project's technical delivery.

Tech Stack:

• Backend: Java, Spring Boot, Spring Data, Spring REST
• Cloud & Infrastructure: AWS, Kubernetes, Terraform
• Databases: Relational Databases, SQL, Transactions
• API Tools: Swagger, Postman
• Testing: JUnit 5, REST Assured

• Frontend: React, TypeScript

   

Requirements:

• Strong commercial experience in Java backend development.
• Recent hands-on experience with Spring Boot.
• Solid understanding of RESTful API development and integration.
• Experience working with Spring Data and relational databases.
• Strong knowledge of SQL and database transactions.
• Practical experience with AWS cloud services.
• Familiarity with Kubernetes and Terraform.
• Experience writing and maintaining automated tests using JUnit 5 and REST Assured.
• Experience working with Swagger and Postman for API documentation and testing.
• Understanding of Agile/Scrum development practices.
• Ability to collaborate effectively with distributed engineering teams.

• Strong communication, problem-solving, and analytical skills.

   

Nice to Have:

• Experience with React and TypeScript.
• Familiarity with Datadog or similar monitoring and observability tools.
• Experience with manual UI testing and automated backend testing.

• Previous experience working in a staff augmentation environment.

   

Responsibilities:

• Develop, maintain, and enhance backend services using Java and Spring Boot.
• Design, implement, and maintain RESTful APIs.
• Work with relational databases, SQL queries, and transaction management.
• Collaborate with the Senior Software Architect and other engineering team members.
• Write and maintain unit and API tests.
• Participate in code reviews and contribute to code quality improvements.
• Support application deployments and troubleshooting in AWS/Kubernetes environments.
• Participate in Agile ceremonies, including stand-ups, sprint planning, demos, and retrospectives.

Collaborate with the team to ensure timely delivery of project requirements.

Working conditions:

• Remote work format; 
• A flexible work schedule; the result is what matters most (8 hours a day, 5/2);
• Holidays: 24 working days after the probation period;
• Paid sick leave: 10 days after the probation period;
• 50% coverage for gyms, conference compensation, and after the probation period;

We are looking for engineers who are passionate about AI-native development, comfortable working with ambiguity, and excited about using AI agents to fundamentally change how software is built.

Key Responsibilities:

AI-Native Software Development

• Design, develop, and deploy enterprise-grade applications built around AI agents and Large Language Models (LLMs).
• Build scalable AI-native architectures where intelligent agents are integral to the system design.
• Develop reliable, maintainable, and production-ready software using modern engineering practices.
• Leverage AI coding agents to accelerate development while maintaining high standards of code quality.

LLM Integration & Agentic Systems

• Integrate LLMs into production environments, focusing on retrieval, context engineering, and output validation.
• Design and implement multi-agent workflows, including task orchestration, agent responsibilities, and control mechanisms.
• Develop robust AI solutions with appropriate guardrails, fallback mechanisms, and error handling.
• Implement monitoring, logging, and testing strategies to ensure the reliability, security, and traceability of AI-driven systems.

Software Architecture & Engineering Excellence

• Take ownership of technical solutions from initial requirements through production deployment.
• Design architectures that balance rapid prototyping with enterprise-level quality and reliability.
• Maintain engineering standards across code reviews, automated testing, and CI/CD pipelines.
• Review, validate, and improve AI-generated code to ensure production readiness.
• Identify technical risks, troubleshoot complex issues, and continuously improve system performance.

Required Qualifications

• 5+ years of professional software engineering experience, including hands-on development of production applications.
• Strong programming skills in at least one of the following languages: Python, Java, Go, or TypeScript.
• Recent, practical experience designing, developing, or integrating AI/LLM-based solutions.
• Hands-on experience using AI coding agents in daily software development workflows.
• Strong understanding of AI-assisted development, including code validation, debugging, and common failure modes of coding agents.
• Experience building or integrating LLM-powered applications, including retrieval mechanisms, context management, and output validation.
• Solid understanding of software architecture, design principles, and production engineering practices.
• Experience with automated testing, code reviews, version control, and CI/CD processes.
• Ability to independently investigate complex technical problems and deliver end-to-end solutions.
• Strong analytical thinking, problem-solving skills, and attention to engineering quality.
• Excellent communication skills in English, with the ability to collaborate confidently with technical teams and business stakeholders.
• Ability to work effectively in dynamic environments where requirements may evolve or initially be undefined.

Additional Relevant Experience

The following experience would be valuable for this role:

• Designing and implementing multi-agent AI systems and agent orchestration workflows.
• Building Retrieval-Augmented Generation (RAG) solutions.
• Implementing LLM evaluation, guardrails, fallback strategies, and observability.
• Working on enterprise-grade AI applications with strict reliability and quality requirements.
• Participating in customer-facing engineering projects or enterprise solution delivery.
• Taking technical ownership of projects involving multiple stakeholders and complex business requirements.

What We Offer:

Work on Enterprise AI Solutions

Build real-world AI-native systems for established enterprise customers, working on challenging engineering problems with measurable business impact.

Fully Remote Work

Work remotely without business travel while collaborating with international enterprise clients and following their working schedules.

Experienced Technical Leadership

Receive direct guidance from hands-on engineering principals with extensive experience building and operating large-scale enterprise systems.

Access to Advanced AI Tooling

Work with modern AI development tools and agent-assisted engineering workflows.