Principal AI Engineer

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