Senior AI-Augmented Software Engineer

Flexera develops SaaS solutions for technology value optimization. The Senior AI-Augmented Software Engineer builds and improves production software, using AI coding agents alongside engineering fundamentals to deliver features safely and reliably.

Responsibilities:

• Implement product features, APIs, integrations, internal tools, and engineering improvements using our technology stack
• Turn requirements and technical designs into small, well-defined implementation tasks
• Use AI coding agents to accelerate implementation, explore alternative solutions, generate tests, and improve existing code
• Contribute across the software development lifecycle, including requirements clarification, design, implementation, testing, deployment, and support
• Deliver working software in small increments, incorporating feedback quickly
• Take ownership of assigned features from initial understanding through production readiness
• Use tools such as Claude Code, OpenAI Codex, and other approved AI engineering tools as part of your everyday development process
• Provide AI agents with clear objectives, relevant repository context, constraints, and acceptance criteria
• Break larger tasks into manageable steps and coordinate multiple AI-assisted tasks when appropriate
• Review generated code for correctness, readability, security, performance, and consistency with existing architecture
• Identify hallucinations, incorrect assumptions, unnecessary complexity, and subtle defects in AI-generated implementations
• Use AI to investigate unfamiliar codebases, understand errors, explain complex logic, and accelerate learning
• Improve your workflows by capturing reusable instructions, documenting discoveries, and sharing effective techniques with teammates
• Write and maintain unit tests, integration tests, and other appropriate automated checks
• Reproduce bugs, identify root causes, and implement durable fixes rather than superficial workarounds
• Validate AI-generated code against explicit requirements and expected behavior
• Participate in code reviews and respond constructively to feedback
• Use automated testing, linting, type checking, and CI/CD pipelines to catch problems early
• Follow established security practices and avoid exposing credentials, sensitive information, or production data to unauthorized tools
• Help maintain clear documentation and understandable code that other engineers can confidently modify
• Own assigned features and technical improvements, communicating progress, risks, and blockers early
• Work directly with the team lead to clarify requirements and make appropriate technical decisions
• Collaborate with your teammate to review implementations, investigate problems, and share knowledge
• Ask thoughtful questions, challenge questionable assumptions, and suggest simpler or better solutions
• Participate in technical discussions and contribute ideas that improve the product and development process
• Gradually take responsibility for larger features and make more decisions independently as your skills develop
• Build strong foundations in software design, debugging, testing, security, and system architecture
• Learn how to use AI effectively without becoming dependent on code that you cannot explain or maintain
• Explore new tools and techniques that improve the quality and efficiency of software delivery
• Share lessons learned from successful implementations, failed experiments, and production issues
• Develop the skills needed to become an independent engineer capable of owning increasingly complex systems

Requirements:

• Foundational programming experience through professional work, internships, academic projects, or substantial personal projects
• Working knowledge of at least one programming language relevant to our technology stack
• Understanding of core software engineering concepts, including data structures, control flow, APIs, debugging, and version control
• Familiarity with Git and collaborative development practices
• Ability to break problems into smaller steps, investigate unfamiliar concepts, and learn new technologies independently
• Interest in using AI tools to improve software development, with a willingness to learn effective prompting, context management, and code validation
• Strong analytical thinking and attention to detail
• Clear communication skills and the ability to ask for help when needed
• A sense of ownership, intellectual curiosity, and commitment to delivering reliable software
• Hands-on experience with AI coding tools such as Claude Code, OpenAI Codex, GitHub Copilot, or comparable agentic development tools
• Experience building applications, APIs, integrations, automation scripts, or other working software
• Familiarity with automated testing, CI/CD, cloud platforms, containers, or relational databases
• Experience reading, debugging, and extending an existing codebase rather than working exclusively on greenfield projects
• Examples of using AI to build a project, solve a difficult technical problem, or improve an existing implementation
• Interest in learning multiple layers of the application stack and contributing beyond narrowly defined coding tasks