Senior Front-End Agentic AI Engineer

United StatesRemotesenior

OtherAgentic Ai Engineer

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Quick Summary

Key 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.

Technical Tools

OtherAgentic Ai Engineer

Responsibilities

~2 min read

→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.

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 Have

~1 min read

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.

What We Offer

~1 min read

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.

LTS shares salary ranges to promote transparency. Compensation ranges are provided for informational purposes, and final compensation may vary based on experience, skills, location, and role requirements.

LTS is committed to offering eligible employees comprehensive benefits that will provide them with options intended to meet their needs and the needs of their family.