Senior Front-End Agentic AI Engineer

LTS

6d•Remote

About The Position

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.

Requirements

Bachelor's degree in Computer Science, Software Engineering, or related discipline (or equivalent professional experience).
7+ years of professional front-end software engineering experience building production web applications.
Expert-level proficiency with React, TypeScript, modern JavaScript, and contemporary front-end architecture.
Experience building highly interactive, data-rich user interfaces.
Strong understanding of component architecture, state management, and scalable front-end engineering.
Experience building real-time user experiences using streaming APIs, WebSockets, or Server-Sent Events.
Experience consuming complex REST, GraphQL, tRPC, or comparable typed APIs.
Experience collaborating closely with backend engineers, designers, and product teams in Agile environments.
Excellent communication skills and the ability to explain technical decisions clearly across engineering and business stakeholders.
Mindset of a product engineer rather than a feature developer.
Engineers capable of building software from first principles.
Passion for usability, interaction design, and developer experience.
Strong ability to carefully analyze requirements before writing code.
Preference for ownership over narrowly defined responsibilities.
Experience operating across the client/server boundary when necessary.
Expertise using AI coding assistants, parallel agents, and model-driven development workflows.
Efficiency while maintaining high engineering standards.
Innate ability to solve difficult engineering problems that don't have obvious solutions.

Nice To Haves

Experience in healthcare, regulated industries, or large-scale enterprise modernization programs is a plus.
Experience building AI-native products, LLM-powered applications, or agentic AI systems.
Experience designing interfaces for AI assistants, copilots, developer tools, or knowledge platforms.
Familiarity with Retrieval-Augmented Generation (RAG), vector search, embeddings, or agent orchestration frameworks.
Experience rendering complex technical content including markdown, syntax highlighting, dependency graphs, diagrams, or code relationships.
Experience developing products for software engineers or other highly technical users.
Experience with cloud-native platforms including AWS or Azure.
Experience building design systems or reusable component libraries.
Familiarity with accessibility standards including Section 508 and WCAG.
Experience using AI coding assistants and parallel AI workflows as part of daily software development.

Responsibilities

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.
Design interaction patterns for agentic workflows, including multi-step reasoning, tool execution, progress visualization, human-in-the-loop review, and long-running AI tasks.
Build responsive real-time user experiences using WebSockets, streaming APIs, and modern state management patterns.
Partner closely with AI engineers to define how agent output is translated into intuitive user experiences.
Collaborate with product managers, UX designers, architects, and platform engineers to rapidly prototype, validate, and deliver new capabilities.
Build scalable component libraries and reusable design systems supporting future platform growth.
Optimize performance, accessibility, responsiveness, and usability across enterprise environments, including Section 508 compliance.
Instrument the application with analytics, observability, and client-side monitoring to continuously improve user experience.
Use AI-native engineering workflows to accelerate development, improve software quality, and increase engineering velocity.