Are you an AI leader in the Software Engineering space? Do you challenge the status quo? Do dive right in with the latest AI Development tools so that you can leverage them to create new innovative solutions, modernize existing solutions, and address that history of tech debt? All while leveraging AI to move faster and be more scalable? Do you evangelize and empower your peers and cross functional partners to do the same? Are you constantly asking others to consider "How can AI help with that?" If so, look no further. As a Principal Software Engineer, you will leverage the latest AI Development tools to amplify engineering output, while also building agentic capabilities into our enterprise SaaS and desktop applications. You will be an AI evangelist on the team - ensuring AI-first practices are incorporated into our solutions. You will champion AI usage amongst your peers while actively participating in Agile planning, refinement, and retrospective ceremonies. You will work across several strategic product initiatives spanning AI centric product solutions including but not limited to new modules and applications, modernizing legacy architectures, and optimizing application operations. Our tools consist of Copilot, Claude, Devin, Lovable, and C#, .NET, React, TypeScript, SQL to name a few. Have others; we'd love to see what you bring to the table. You will work in cross-functional product teams alongside Engineers and QA Engineers following Agile SDLC. You are a great fit if AI is at the forefront of your development practices, you thrive in fast-changing environments, and you are committed to continuously improving yourself, your team, and our products. Responsibilities • Be the tip of the spear in using and evangelizing AI within Software Development • Integrate AI capabilities into product features, including agentic workflows, and AI-assisted user experiences • Provide technical leadership in solving complex software development challenges that meet and exceed customer expectations • Design and implement robust, scalable, and high-performing backend solutions using .NET / .NET Core, C#, and SQL • Own the full development lifecycle from requirements through testing - producing clean, reusable, and maintainable code • Lead, critique, and coach others in code reviews, architecture discussions, while identifying dependencies and resolving impediments for other engineers • Interact with product owners and stakeholders to clarify requirements and translate them into well-architected solutions Qualifications • 8+ years of experience designing and developing SaaS web applications using JavaScript, .NET and C#, Java or equivalent • Demonstrated application in the use of AI tools within the Software Development space (Claude, Copilot, Devin, Lovable, etc.) • Hands-on experience integrating LLMs into production software (prompt engineering, API integration with OpenAI, Azure OpenAI, or similar) • Experience with data replication patterns, ETL pipelines, or connector/adapter framework design • Strong experience modernizing legacy architectures. Demonstrates the ability to read, rapidly understand, diagnose and port from legacy codebases • Expertise in database security principles and best practices • Ability to mentor junior and mid-level engineers in best practices • Strong written and verbal communication skills; able to collaborate effectively across engineering, product, QA, and executive stakeholders • Familiarity with enterprise financial systems (ERPs, GL platforms, FP&A or reporting tools) and an understanding of the data workflows that drive finance teams a nice to have The salary range in United States of America for this position is 160,000.00 to 201,000.00 USD Annual. Your specific offer within this range will be determined by your skills, experience, and qualifications. For non-sales roles, you may be eligible for a bonus. For sales roles, this range includes a commission target. We are committed to pay transparency and fair compensation practices. If you have questions about our compensation approach, please don't hesitate to ask during the interview process.