Principal AI Engineer

Job description

# **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.