Principal AI Engineer (AI / .NET Core / React) At Mitratech, we’re a team of engineers passionate about building world-class products that empower Legal, Risk, Compliance, and HR professionals at Fortune 100 companies. We thrive in a global, inclusive culture that values innovation, collaboration, and technical excellence. With continued growth, we’re looking for a Principal AI Engineer to join our HotDocs Team. HotDocs is Mitratech’s flagship document automation platform, used by enterprise clients worldwide to streamline the assembly of complex legal documents and contracts. You'll set the technical direction for AI at HotDocs - designing and delivering new AI-powered enterprise capabilities and driving our adoption of AI across the software development lifecycle. This is a remote-first role. About the Role As a Principal AI Engineer, you will: Set the AI Technical Direction: Own the architecture for AI capabilities across HotDocs - model management, LLM and agent orchestration, retrieval strategy, evaluation, cost and latency management - and translate it into a pragmatic delivery roadmap. Deliver Enterprise AI Features: Take new AI-powered features from prototype to production at enterprise scale, writing clean, maintainable code in .NET Core and React and holding the bar for performance, security, and readability. Drive AI Adoption in the SDLC: Lead how we use AI across engineering - coding assistants, agentic workflows, test generation, code review, and documentation - selecting tooling, defining safe and effective usage patterns, and measuring the impact on delivery. Build Trustworthy AI: Establish evaluation harnesses, guardrails, observability, and AI governance practices so that AI features are accurate, explainable, and safe for use in regulated, compliance-heavy environments. Bring Deep Technical Expertise: Apply strong .NET and React ecosystem knowledge to complex problems, modernize and refactor legacy code where it blocks AI integration, and improve system scalability and reliability. Lead and Mentor: Raise the AI capability of the wider engineering group through code reviews, design reviews, pairing, brown-bag sessions, and clear written guidance. Influence Across the Business: Partner with product management, architecture, security, and customer-facing teams to shape the AI roadmap, evaluate build-versus-buy decisions, and set realistic expectations for what AI can deliver. Enhance DevOps and AI Ops: Extend CI/CD pipelines to cov..
