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busquedasIT
SOFTWARE ENGINEER - AI (HYBRID - MONTEVIDEO)
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Confidential REF: #1809

A leading provider of cloud-based software for dealerships and Original Equipment Manufacturers (OEMs), serving the Powersport, Marine, RV, Trailer, Outdoor Power Equipment, and Golf Car industries. Dealer Management Solution (DMS) enables dealerships to optimize their end-to-end business operations, including sales, parts, service, rental, accounting, and CRM. When implemented into their daily operations, For nearly 40 years, the company has been empowering 4,000+ dealers across North America with the tools and technology they need to manage their dealerships.

We are an innovative and collaborative team looking to be at the forefront of AI-powered software development. We're seeking Software Engineers - AI who are passionate about leveraging artificial intelligence to accelerate development, enhance code quality, and solve complex technical challenges. This role requires professionals who embrace AI-assisted coding workflows, prompt engineering, and modern development practices while maintaining excellence in traditional software engineering fundamentals. Ideal candidates thrive in fast-paced environments and are excited about the intersection of AI and software development.

What you’ll do

  • Leverage AI coding assistants (Claude, GitHub Copilot, or similar) to accelerate development, refactoring, and code review processes.
  • Collaborate in Agile teams to refine requirements, estimate tasks, and contribute to sprint activities with AI-enhanced productivity.
  • Design and implement software solutions using object-oriented principles, ensuring reusability, scalability, and maintainability.
  • Develop clean, efficient, well-documented code with AI assistance while maintaining high standards of code ownership and understanding.
  • Utilize AI tools for automated testing, test case generation, and maintaining comprehensive unit test coverage.
  • Participate in AI-assisted code reviews, focusing on architecture decisions, logic validation, and security considerations.
  • Work closely with business, product management, QA, and hosting teams to facilitate smooth rollouts across AWS environments (development, staging, production).
  • Manage and optimize CI/CD pipelines with AI-enhanced automation for build, test, and deployment processes.
  • Apply prompt engineering techniques to maximize the effectiveness of AI coding tools for your specific development tasks.
  • Use team tools including Jira, GitLab, SwaggerHub, Bruno, and AI platforms for project tracking, version control, API documentation, and testing.
  • Maintain comprehensive documentation in Confluence, leveraging AI to keep resources current and accessible.
  • Contribute to team knowledge sharing on AI tool best practices, effective prompts, and AI-assisted development workflows.

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field with 3–5 years of professional experience, or equivalent experience in lieu of a degree.
  • Demonstrated experience using AI coding assistants (Claude Code, GitHub Copilot, Cursor, or similar) in professional development workflows.
  • Strong understanding of object-oriented programming, design patterns, and software architecture principles.
  • Ability to critically evaluate and validate AI-generated code for correctness, security, and performance.
  • Proficiency with cloud environments (AWS preferred; GCP or Azure experience transferable) and cloud-based development tools.
  • Solid foundation in software development processes, debugging, testing, and troubleshooting.
  • Proven experience with Agile and Scrum methodologies in fast-paced development environments.
  • Strong computer science fundamentals, including data structures, algorithms, complexity analysis, and software lifecycle processes.
  • Experience developing and integrating RESTful APIs with proficiency in SQL and relational databases.
  • Understanding of network communications, distributed systems, and microservices patterns.
  • Ability to independently manage development environments, resolve technical issues, and debug AI-assisted code.
  • Working knowledge of Linux/Unix operating systems and command-line tools.
  • Growth mindset with enthusiasm for learning new programming languages, frameworks, and AI technologies.
  • Strong verbal and written communication skills, including the ability to articulate technical decisions and document AI-assisted workflows.
  • Collaborative approach with commitment to knowledge sharing and team development.
  • Excellent organizational skills and ability to prioritize effectively in dynamic environments.

Preferred Qualifications

  • Experience with prompt engineering and optimizing AI tool outputs for software development tasks.
  • Familiarity with test-driven development (TDD) and achieving high code coverage standards, including AI-generated test cases.
  • Knowledge of AI model capabilities, limitations, and best practices for AI-assisted development.
  • Experience integrating front-end and back-end systems with modern architectural patterns.
  • Proficiency with modern databases (PostgreSQL preferred) and microservices architecture.
  • Knowledge of containerization and orchestration technologies (Docker, Kubernetes).
  • Experience with infrastructure as code (Terraform) and DevOps practices.
  • Understanding of code quality tools, static analysis, and automated security scanning.
  • Contributions to open-source projects or technical blog posts demonstrating AI-assisted development expertise.

Excellent opportunity to join a company with international standards, work on complex projects, and grow professionally within an expanding team in Uruguay.

Hybrid work model with two days per week in our Carrasco office.

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Role and Technologies

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