[Remote] Principal Software Engineer - AI
Note: The job is a remote job and is open to candidates in USA. insightsoftware is a global provider of reporting, analytics, and performance management solutions that unlock the potential of business data. As a Principal Software Engineer, you will leverage AI Development tools to create innovative solutions, modernize existing systems, and enhance engineering output while championing AI practices within the team.
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
Skills
- 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
Benefits
- You may be eligible for a bonus.
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