[Hiring] AI Engineer/Staff Software Engineer @DMS Vision

Role Description

We are seeking a highly skilled AI Engineer who can define and scale how our engineering organization builds simulation software with AI agents. This role requires deep fluency in "loop engineering" with tools like Claude Code: designing the feedback loops, guardrails, and workflows that let AI agents safely and effectively contribute to production codebases. You'll need to understand the full agentic software development lifecycle, from context design through evaluation, deployment, and observability, while also being a hands-on expert across our core stack. This is a staff-level role: you'll collaborate with other engineers to set technical direction, define best practices for agentic development across teams, and remain deeply hands-on in architecture and code.

Qualifications

• Deep fluency in "loop engineering" with tools like Claude Code.
• Understanding of the full agentic software development lifecycle.
• Hands-on expertise across core stack technologies.

Requirements

• Design and implement "loop engineering" workflows using Claude Code and similar tools.
• Architect Model Context Protocol (MCP) servers and tool schemas.
• Define human-in-the-loop checkpoints, autonomy boundaries, and rollback strategies.
• Build evaluation harnesses and observability practices.
• Design and review microservice and microfrontend architecture.
• Drive test-driven development practices across teams.
• Own technical decisions across Java microservices, Node.js services, React/microfrontend UI, and Python tooling.
• Design and develop hands-on lab activities, practical exercises, guided projects, and simulations.
• Create technical learning content for AI, cloud, software engineering, and emerging technologies.
• Develop assessment questions including MCQs, scenario-based questions, coding exercises, capstone projects, and knowledge checks.
• Utilize Claude and other AI tools to generate, review, and improve educational content.
• Align content with learning objectives, competency frameworks, and certification standards.
• Develop responsive web applications using React.js.
• Build backend services and APIs using Node.js and Express.js.
• Integrate AI services and LLM APIs into web applications.
• Design and implement secure RESTful APIs and microservices.
• Develop dashboards for content management, assessment reporting, and learner analytics.

Company Description