Principal Software Engineer - AI

NetDocuments•Lehi, UT

10h•Hybrid

About The Position

NetDocuments is seeking a Principal Software Engineer to lead the design and development of AI-powered solutions that enhance how legal professionals work. In this role, you will serve as a technical leader, driving architecture, guiding engineering teams, and partnering closely with Product and Design to deliver scalable, high-quality applications. This is a hands-on role combining deep technical expertise with mentorship and strategic influence, where you will shape the direction of AI-driven development across the platform.

Requirements

8+ years of software engineering experience, including building and delivering production-grade applications.
3+ years of experience in a technical leadership role.
Strong expertise in full-stack development, with experience in technologies such as C#, .NET, React, Java, or Angular (C# and React preferred).
Experience working with AI platforms or providers such as OpenAI, Anthropic, or similar.
Deep understanding of system design, architecture, and distributed systems.
Experience building and consuming APIs using REST and/or GraphQL.
Experience with cloud-native technologies, including AWS and/or Azure.
Strong problem-solving skills with the ability to decompose complex challenges into practical solutions.
Excellent collaboration, communication, and interpersonal skills.
Ability to work independently and lead initiatives with minimal oversight.

Nice To Haves

Experience with distributed systems and event-driven architectures.
Deep experience with AWS or other cloud platforms.
Familiarity with modern frontend architectures such as Module Federation.
Experience in legal technology or other regulated industries.
Proven ability to lead large, cross-functional technical initiatives.

Responsibilities

Define and drive the technical direction for AI-enabled products and platform capabilities.
Design scalable, high-performance architectures and document solutions through clear diagrams and technical specifications.
Break down complex systems into simple, maintainable components while ensuring long-term scalability and reliability.
Partner with Principal and Distinguished Engineers to design and build robust, distributed systems.
Contribute directly to the codebase (approximately 70% hands-on), building and delivering full-stack applications in a production environment.
Develop and integrate AI-driven capabilities using leading AI providers.
Ensure systems meet performance, reliability, and quality standards through testing, monitoring, and optimization.
Implement and maintain APIs using REST and GraphQL.
Research, evaluate, and prototype new technologies, tools, and approaches through proof-of-concepts.
Stay current with emerging development practices, particularly in AI and cloud-native technologies.
Continuously improve system performance, observability, and operational health through logging, telemetry, and proactive monitoring.
Mentor and guide engineers, supporting their technical growth and ensuring successful project delivery.
Collaborate cross-functionally with Product, Design, and Engineering teams to align on priorities and execution.
Lead by example in fostering a culture of quality, ownership, and continuous improvement.