Leading internal AI transformation at your company? Join other leaders

Internal AI Job Board

AI Enablement Engineer

Valon - Remote, USA

Engineer Verified May 21, 2026 Source: valon.ai

This role is part of the Internal AI Job Board, a curated list of jobs for teams building or operating internal AI systems. Follow the original role page for the employer description, requirements, and application flow.

Responsibilities

  • 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.
  • 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.

Qualifications

  • 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
Apply on the original posting

Related internal AI jobs

Leading internal AI transformation at your company? Join other leaders

Internal AI jobs for people putting agents to work

The job board tracks internal AI operations and internal AI engineer roles at companies putting AI into daily work.

These roles give other teams leverage: better workflows, useful agents, internal tools, and support for adoption.

Built with Concept.dev

Concept works with leading enterprises to design, build, and deploy personalized AI coworkers. Concept is built by leaders from Ramp, OpenAI, Google DeepMind, and Scale.

X/Twitter · LinkedIn · Contact