Front End Engineer

United States – Remote
Clearance: Ability to obtain and maintain a Public Trust

LTS is seeking a Senior Front-End Agentic AI Engineer to own the experience layer of an AI platform built for one of the most consequential legacy systems still running in production today.

Our platform enables engineers to ask questions in plain English and receive explainable, verifiable answers traced directly back to the exact lines of source code. Rather than replacing engineers, we're building AI that helps them understand decades of complex software faster, with complete transparency and confidence.

We're building an AI-native engineering platform supporting the modernization of mission-critical healthcare systems serving millions of Veterans nationwide. Every response generated by the platform must be explainable, traceable, and trustworthy. The front end is where that trust is earned.

The platform is designed for deployment across federal enterprise environments and is being engineered to align with FedRAMP security controls, Zero Trust principles, and federal compliance requirements.

When an engineer asks a question about a decades-old codebase, your interface determines whether they trust the answer or close the tab. You'll own that experience from end to end.

The product has executive sponsorship, committed users, a clearly defined mission, and a customer who knows exactly what success looks like.

Our engineering team is intentionally small. Every engineer has significant ownership, meaningful influence over product direction, and the opportunity to help define how engineers interact with AI.

We don't simply build AI-powered software—we build software with AI. This is not another chatbot.

Using AI agents, LLMs, parallel workflows, and model-assisted development is simply how we engineer.

What You’ll Do:

• Own the end-to-end front-end experience for an enterprise-scale Agentic AI platform.
• Design intuitive interfaces that transform complex AI reasoning into experiences engineers’ trust.
• Build and maintain conversational interfaces, embedded AI assistants, review workflows, and authoring experiences using React, TypeScript, and modern front-end technologies.
• Develop the rendering pipeline for streaming AI responses, markdown, source citations, code blocks, dependency graphs, workflow visualizations, and technical documentation.
• Build evidence and traceability experiences that allow users to validate AI-generated answers by navigating directly to source code, documentation, and supporting artifacts.