Software Engineer I (AI Driven)

What Is the Opportunity?

The individual contributor is expected to make AI-driven tools and workflows a core part of how they engineer — not as an occasional aid, but as a fundamental shift in how software is designed, built, and delivered.

What Will You Do?

• Perform analysis, design, development, and configuration functions as well as define technical requirements for assignments of intermediate complexity — with AI-driven tools as a primary means of accelerating delivery, improving code quality, and reducing manual effort across the engineering lifecycle.
• Participate with team to perform analysis, assessment and resolution for defects and incidents of intermediate complexity and escalate appropriately, routinely applying AI-driven tooling to accelerate root cause identification, pattern recognition, and resolution quality.
• Seek opportunities to expand technical knowledge and capabilities, with a strong emphasis on deepening fluency in AI tools, prompt engineering, and the evolving landscape of AI-driven software development practices.
• Perform other duties as assigned.

What Will Our Ideal Candidate Have?

• Three years of programming/development experience.
• Hands-on experience using AI-driven or AI-assisted tools in a professional engineering context strongly preferred.
• Delivery - Strong delivery skills including the ability to deliver work at a steady, predictable pace to achieve commitments, decompose work assignments into small batch releases and contribute to tradeoff and negotiation discussions. Consistently applies AI-driven tools to compress delivery timelines, reduce rework, and improve the predictability and quality of personal output.
• Domain Expertise - Demonstrated track record of domain expertise including the ability to understand technical concepts necessary to do the job effectively, demonstrate willingness, cooperation, and concern for business issues and possess in-depth knowledge of immediate systems worked on. Actively applies AI-driven techniques within their domain to deepen system understanding, surface hidden dependencies, and accelerate onboarding to new areas of the codebase.
• Problem Solving - Proven problem solving skills including debugging skills, allowing you to determine source of issues in unfamiliar code or systems and the ability to recognize and solve repetitive problems rather than working around them, recognize mistakes using them as learning opportunities and break down large problems into smaller, more manageable ones. Treats AI-driven tooling as a core problem-solving instrument — using it to generate hypotheses, automate repetitive diagnosis, and rapidly prototype solutions while applying critical judgment to evaluate and refine AI-generated output.
• Communication - Strong communication skills with the ability to clearly and concisely interact with team members, document work in a clear, easy to follow manner, collaborate well with team members, take in well-scoped requirements and ask the right questions to ensure clarification, seek out and receive constructive criticism well and listen when others are speaking. Communicates AI tool usage transparently as a standard part of engineering practice, contributes to team knowledge sharing on effective AI-driven techniques, and documents AI-assisted decisions clearly for future reference.
• Leadership - Intermediate leadership skills with a proven track record of self-motivation in identifying personal growth opportunities. Demonstrates initiative in building and sharing AI-driven engineering fluency, treating the adoption of new AI capabilities as a professional responsibility and a direct contribution to the team's collective velocity and capability.

Must Have

• Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience.
• Two additional years of software engineering experience.