Language Engineer at xMentium

United States

<p>Job Title: Language Engineer<br />Location: Remote<br />Type: Full-Time<br />Department: Language Engineering<br />Reports to: Vice President of Language Engineering</p><p></p><p>About Us</p><p>At xMentium, we help enterprises turn their unstructured language and documents into structured, usable data at scale. Our AI-powered platform, anchored by xTract, transforms sprawling repositories of contracts, licenses, technical documentation, communications, and other business-critical documents into clean, queryable metadata that powers analytics, agents, and downstream systems.</p><p>We work across industries, including media and entertainment, oil and gas, manufacturing, real estate, financial services, and enterprise AI transformation more broadly, helping customers ground their AI agents, accelerate due diligence, unlock the value trapped in legacy repositories, and finally make their documents work for them. </p><p>Our team combines deep subject matter expertise with AI, NLU, and language engineering to deliver solutions that are ambitious yet practical. We work independently, but never alone: we are part of a collaborative team where ideas, customer needs, and technical approaches start to align in powerful ways. As pioneers in language engineering, we help enterprises use their own documents and data as a strategic asset, turning critical content into structured intelligence they can trust and operationalize.</p><p>We understand that life is about more than just work and believe that driving to a headquarters is part of the problem. That's why we're a remote-first company and offer flexible work arrangements that empower you to balance your professional and personal life effectively. Your well-being is important to us, and we encourage a healthy work-life balance to ensure you have time for what matters most to you and can always do what you need to do.</p><p></p><p>About the Role</p><p>As a Language Engineer at xMentium, you'll be at the forefront of how enterprises curate, structure, and operationalize their most important content. You'll play a pivotal role in bridging the gap between subject matter experts and technology, designing and implementing extraction schemas, configuring AI-powered workflows, and delivering structured data that powers analytics, agents, and enterprise decision-making across a wide range of industries and use cases.</p><p>This role sits at the intersection of domain expertise, AI, and applied engineering. You will work directly with customers and prospects (running demos, leading working sessions, and configuring solutions) as well as spend time building, refining, and validating the capabilities that make xTract work. Your contributions will directly impact customer success and company growth, ensuring our solutions remain at the cutting edge.</p><p></p><p>Responsibilities</p><ul><li>Implement and configure xMentium's AI-powered platform to extract structured data at scale from unstructured documents across industries such as media and entertainment, oil and gas, manufacturing, real estate, and more.</li><li>Partner with customers to define extraction schemas, taxonomies, and business rules that turn their document repositories into clean, queryable, machine-readable data. </li><li>Collaborate with software developers, customers, and product managers to define requirements, scope, and design of new platform capabilities.</li><li>Analyze customer processes and workflows to identify high-value opportunities for AI-driven automation and structured data extraction.</li><li>Support sales efforts with software demos and working sessions tailored to the customer's domain and data.</li><li>Lead testing, validation, and quality assurance (including human-in-the-loop review of extraction outputs) to ensure reliability and customer trust. </li><li>Provide training and support to users, facilitating adoption and offering technical assistance as needed.</li><li>Stay current on advancements in AI, LLMs, VLMs, OCR, and enterprise data platforms to continuously improve our offerings.</li><li>Gather user feedback and recommend enhancements to functionality, extraction quality, and user experience.</li><li>Assist with the management of customer implementations from inception through ongoing operation.</li></ul> <ul><li>Demonstrable history of customer-centric service and delivery.</li><li>Enterprise contracting, operations, or domain-expert experience in at least one or more of our target verticals: media and entertainment, oil and gas, manufacturing, real estate, or enterprise AI transformation .</li><li>Working familiarity with AI tools and functionality; specifically, a solid understanding of how LLMs work, their strengths and limitations, and how to prompt and evaluate them effectively.</li><li>Strong analytical and problem-solving abilities with keen attention to detail, especially when working with schemas, taxonomies, and structured data.</li><li>Demonstrable project management skills with the ability to manage multiple projects and customers simultaneously.</li><li>Strong verbal and written communication skills, with the ability to explain technical concepts to non-technical users and executives.</li><li>Willingness to learn and adapt to new technologies as the AI and enterprise data landscape evolves.</li><li>A collaborative team player with a drive for results and a passion for innovation.</li><li>Bachelor's degree.</li></ul><p></p><p>Plusses</p><ul><li>Programming experience (Python, SQL, or similar).</li><li>Hands-on experience with AI and machine learning, particularly applied to enterprise document workflows.</li><li>Familiarity with Microsoft Fabric, Purview, Power BI, SharePoint, or similar enterprise data platforms. </li><li>Familiarity with agentic AI workflows and grounding techniques for LLM-based assistants and Copilots.</li><li>Juris Doctorate or equivalent domain credential.</li></ul> <ul><li>Health Care Plan (Medical, Dental &amp; Vision)</li><li>Retirement Plan (401k, IRA)</li><li>Paid Time Off (Vacation, Sick &amp; Public Holidays)</li><li>Work From Home</li><li>Stock Option Plan</li></ul>