AI Enablement Engineer

Company: Valon Tech
Location: New York City
Posted on: April 3, 2026

Job Description:

About the Company Valon is building the AI-native operating system for regulated finance, starting with mortgage servicing. We're a Series C company backed by a16z, transforming industries that others have written off as too complex to innovate. Rather than build on top of broken legacy systems, we took a different approach: we built and operate our own mortgage servicing business managing $110 billion in loans. This wasn't the end goal, it was how we deeply understood the complexity needed to build software that actually works in regulated industries. The results speak for themselves. We've transformed mortgage servicing from a 0% margin business into 60% margins while dramatically improving customer experience. Major enterprise contracts are now deploying across the industry. ValonOS is our unified platform that makes every process structured and programmable and it is perfectly positioned for the AI era. When everything flows through one system with rich data, AI agents don't just automate tasks, they continuously improve entire operations. Mortgage servicing is just the beginning of our vision to transform regulated industries and beyond. About the Role We're hiring an AI Deployment Engineer to join a small, high-autonomy team building the internal tools and AI-powered systems that make Valon's client deployments successful. This is not a traditional software engineering role. You'll operate at the intersection of product, engineering, and client delivery — building whatever is needed to make deployments run smoothly. One week you're standing up a project tracking dashboard; the next you're integrating AI agents into client workflows; the week after you're building admin tooling so deployment leads can manage teams and forecasts. To give you a sense of pace and scope: building a full deployment management platform — kanban boards, Gantt views, milestone tracking, AI-powered inbox scanning, team dashboards — in six weeks is the kind of output we expect from this role. What You'll Do Build deployment tooling end-to-end — Design, build, and ship internal applications that help Valon manage complex client deployments. You'll own the full stack from data layer to UI. Ship AI-powered features — Build AI agent workflows, copilot experiences, and automation tools that make deployment teams more effective. Think: intelligent inbox scanning, cross-reference extraction, AI-assisted planning. Move fast with AI-assisted development — Use coding agents (Claude Code, Codex) as pair programmers to maintain high velocity. We expect you to ship meaningful features daily, not weekly. Work across the stack — Next.js, React, TypeScript, Tailwind CSS, API integrations. You don't need to know all of these coming in, but you need to learn fast and build confidently across layers. Operate with high autonomy — You'll have broad ownership over what you build and how. No one will hand you detailed specs — you'll identify problems, design solutions, and ship them. Who You Are 1–5 years of engineering experience , with demonstrated ability to ship complete products (not just features within a larger codebase) Full-stack web development chops — strong in React/TypeScript; comfortable building APIs, managing data layers, and crafting polished UIs AI-fluent — you actively use coding agents in your development workflow and have built AI-powered features (agent workflows, RAG systems, copilot UX, or similar) Extremely high velocity — you're the person who builds a working prototype while others are still writing the design doc Comfortable with ambiguity — you thrive when given a problem, not a solution, and can turn vague requirements into shipped software Strong product instincts — you build things people actually want to use, with attention to UX details like drag-and-drop, inline editing, and responsive layouts Nice to Have Experience at early-stage startups or as a technical founder Forward-deployed engineering background (Palantir, Anduril, Scale AI, or similar) Familiarity with project management / deployment tracking domains Experience building on Airtable, Notion, or similar low-code backends Contributions to AI tooling or developer tools What Won't Work Engineers who need detailed specs and defined scope before they can start building Candidates who are strong backend but uncomfortable building polished frontends People who talk about AI but haven't built with it Anyone uncomfortable working solo with high ownership and minimal oversight Benefits Competitive salary equity (Series C stage) Comprehensive health, dental, and vision insurance Commuter benefits Flexible PTO 12 weeks paid parental leave Quarterly team events Throughout the interview process, please remember that emails will only be from valon.com email addresses. We will never ask for any personally identifiable information during the interview process itself. Please reach out to talent@valon.com if you have any requests to verify the authenticity of an outreach. Valon is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Valon makes hiring decisions based solely on qualifications, merit, and business needs at the time.

Keywords: Valon Tech, Greenwich , AI Enablement Engineer, IT / Software / Systems , New York City, Connecticut