# Principal AI Engineer at Mitratech > Remote · United Kingdom · Principal · ML / AI · open. Source: https://alderhq.app/jobs/greenhouse%3Amitratech%3A8059183 (read 2026-11-05). ## Facts (observed) - Company: [Mitratech](https://alderhq.app/companies/mitratech) - Location text: UK - Remote; Mitratech UK - Where it can be done from (inferred): Remote · United Kingdom (evidence: "Remote role open worldwide") - Posted: 2026-08-11 (85 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-04 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://job-boards.greenhouse.io/mitratech/jobs/8059183 - Skills listed (inferred): TypeScript, React, C#/.NET, LLMs ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (United Kingdom, n 38): p25 £88k, median £114k, p75 £211k - Licensed UK sponsor: registered as "Mitratech (UK) Limited" (checked 2026-11-03, [register](https://www.gov.uk/government/publications/register-of-licensed-sponsors-workers)) ## Description (the employer's text) ### 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. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Amitratech%3A8059183 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.