LTS - Senior Front-End Agentic AI 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. • 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.
Benefits
• At LTS, we support impactful programs that directly improve healthcare services for Veterans nationwide. Our teams work on innovative modernization initiatives that help transform legacy systems into secure, scalable, and mission-focused digital solutions. We value collaboration, integrity, and professional growth while empowering employees to contribute to meaningful federal healthcare missions.
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