Principal AI Engineer

## 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 cover AI workloads - prompt and model versioning, automated evaluation gates, monitoring, and cost tracking - working closely with DevOps engineers. - Focus on the User: Ensure AI features solve real customer problems and deliver a great experience through attention to detail, responsiveness, transparency, and accessibility. ### About You You are: - A Technical Leader: You set direction without needing authority, build consensus across teams, and communicate clearly with technical and non-technical peers. - An AI Practitioner, not a Spectator: You have shipped AI features to real users, keep pace with a fast-moving field, and can tell genuine capability from hype. - Evidence-Led: You care about maintainable code, testing, and measurable outcomes - you evaluate AI systems with data rather than intuition. - Adaptable and Pragmatic: You balance long-term architectural goals with the practical needs of a sprint-driven environment, and you know when a simple solution beats a model. - Security-, Privacy- and Performance-Minded: You build with scalability and resilience in mind, using secure-by-design principles, and you treat data privacy and responsible AI as first-order concerns. ### Required Skills and Experience -       12 or more years of professional software development experience, including time in a principal, lead, or staff-level technical role. -       Strong skills in .NET Core (C#) and React (TypeScript) or similar SPA frameworks - this remains a hands-on engineering role. -       Demonstrable experience designing and shipping production AI solutions - LLM integration, prompt engineering, RAG, MCP, and agentic or tool-calling systems. -       Hands-on experience with cloud AI platforms and services (e.g. Azure OpenAI / AI Foundry, or equivalent) and with orchestration frameworks such as Semantic Kernel. -       Experience building and maintaining REST APIs. -       Proficiency with Entity Framework and Azure SQL (or SQL Server). -       Experience evaluating and improving AI system quality - test sets, benchmarking, human review loops, and handling non-deterministic behavior. -       Understanding of web applications and AI-specific security, including secure coding, prompt injection, and safe handling of sensitive customer data. -       Experience using Git and collaborating through modern workflows (e.g., pull requests, branching strategies). -       Experience with CI/CD pipelines (Azure DevOps or similar). -       Comfortable working in agile teams using tools such as Jira and Confluence. -       Practical experience using AI tooling within the SDLC (e.g. coding assistants, agentic developer tools) and a view on how to adopt it well across a team. -       A track record of technical leadership - mentoring senior engineers, leading design reviews, and influencing roadmap and architecture decisions. ### Nice to Have -       Deeper AI specialism in areas such as SLMs and fine-tuning, CAG, vector databases, AI observability, multi-agent systems, or AI/ML pipelines. -       Experience with Microsoft Office Addins (office.js / VSTO) -       Familiarity of .NET Framework / WPF -       Experience with authentication standards such as OAuth and SSO. -       Exposure to distributed caching (e.g., Redis) -       Knowledge of Linux environments and containerization (Docker). -       Scripting in PowerShell. -       Familiarity with performance tuning and application diagnostics. -       Experience with infrastructure-as-code or automation tooling. -       Previous experience in enterprise SaaS or compliance-heavy domains (e.g., legaltech, fintech), particularly applying AI to document, contract, or natural language workloads. ### What We Offer -       A collaborative, supportive, and learning-focused work culture. -       The chance to shape an AI strategy end to end, from architecture through to production, at enterprise scale. -       Opportunities to grow your technical skills and career path. -       Remote-first flexibility with optional in-person collaboration sessions. -       Competitive benefits and a chance to impact how global organizations automate critical legal and compliance workflows. ### Join Us Ready to lead the application of AI to document automation at enterprise scale? Apply now to join Mitratech’s innovative, inclusive, and driven HotDocs engineering team.