Engineer 1

## What You'll Contribute An Engineer I will contribute to the design, development, testing, and support of software solutions across web applications, APIs, databases, and cloud environments. This role is intended for an early-career engineer who is eager to learn, collaborate, and apply engineering best practices while exploring emerging technologies, including AI-assisted development tools and solutions. ## What You'll Do - Assist in the development and implementation of engineering solutions, adhering to best practices and project requirements. - Contribute to the design, development, testing, and maintenance of web applications, APIs, and supporting systems. - Conduct testing and quality assurance activities to ensure the reliability, performance, and functionality of deliverables. - Help troubleshoot technical issues and provide support to resolve challenges during project execution. - Participate in code reviews and collaborate with team members to improve code quality and engineering practices. - Create and maintain accurate and up-to-date documentation related to engineering projects. - Prepare reports and summaries to communicate project progress, milestones, and outcomes. - Learn and utilize modern development tools, including AI-assisted coding and productivity tools, while validating outputs and applying sound engineering judgment. ## Minimum Qualifications - Basic understanding of software development methodologies and principles. - Proficiency in one or more programming languages and related development tools. - Foundational experience in full-stack application development, APIs, databases, and cloud technologies gained through academic coursework, internships, personal projects, or equivalent experience. - Strong problem-solving and analytical thinking skills. - Ability to learn new technologies quickly and apply sound engineering judgment when troubleshooting technical challenges. - Excellent communication and interpersonal skills. - Detail-oriented with a focus on quality, accuracy, and continuous improvement. ## Preferred Qualifications - Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience). - 1-2 years of experience in software engineering or a related technical role. - Exposure to cloud platforms, preferably AWS. - Demonstrated interest in AI-assisted software development and emerging technologies. - Experience through coursework, internships, research, or personal projects involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), machine learning concepts, or generative AI applications. - Familiarity with AI-powered development tools and the ability to effectively leverage them while validating outputs and applying sound engineering practices. - Experience building or contributing to full-stack applications using modern development frameworks and technologies.