Principal Software Engineer – AI
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Job Description
Principal Software Engineer advancing AI-powered SaaS and desktop applications at insightsoftware. Integrating LLMs, modernizing legacy architectures, and leading AI-first engineering practices.
Responsibilities:
- Evangelize and champion AI usage 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
- 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
- Produce clean, reusable, and maintainable code
- Lead, critique, and coach others in code reviews and architecture discussions
- Identify dependencies and resolve impediments for other engineers
- Interact with product owners and stakeholders to clarify requirements and translate them into well-architected solutions
- Participate in Agile planning, refinement, and retrospective ceremonies
- Work across strategic product initiatives, including AI-centric product solutions, new modules and applications, legacy modernization, and application operations optimization
- Work in cross-functional product teams alongside Engineers and QA Engineers following Agile SDLC
Requirements:
- 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, including prompt engineering and 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
- 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
- Ability to collaborate effectively across engineering, product, QA, and executive stakeholders
- Familiarity with enterprise financial systems, including ERPs, GL platforms, FP&A, or reporting tools, is a nice to have
- Background check required for employment where permitted by country or state/province
Benefits:
- Additional bonus eligibility may apply
- Equal employment opportunity workplace
- Confidential handling of personal information according to EEO guidelines
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