Assistant Prompt Engineering Jobs in Orem, UT (NOW HIRING)

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.

• 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 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 related field with 3-5 years of development experience, including 1+ years of agentic AI development experience; or equivalent experience in lieu of a degree
• Proficiency in Python and Java (3-5 years each), with hands-on experience in AWS cloud environments
• Demonstrated experience using agentic coding tools (Claude Code, GitHub Copilot, Cursor, or similar), including the ability to critically evaluate, validate, and debug AI-generated code
• Strong computer science fundamentals, including data structures, algorithms, object-oriented design, and software architecture principles
• Proven experience with Agile and Scrum methodologies in fast-paced development environments
• Experience developing and integrating RESTful APIs with proficiency in SQL and relational databases
• Understanding of distributed systems and microservices architecture
• Working knowledge of Linux/Unix operating systems and command-line tools
• Strong communication and collaboration skills, with a growth mindset and ability to prioritize effectively in a fast-paced environment

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