Senior Front-End Agentic AI Engineer
L
LTSHealthcare Technology
United States - RemoteFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 7+ years of professional front-end software engineering experience
- Required Skills
- GraphQLJavascriptTypeScriptReactRESTful APIsLLM
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.
- Expertise using AI coding assistants, parallel agents, and model-driven development workflows.
- Ability to carefully analyze requirements before writing code.
- Passion for usability, interaction design, and developer experience.
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.
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