Sr Frontend Application Developer (React, Angular, Gen AI, Agentic AI)

InfoVision Inc.; Newport Beach (CA); Sur place; USD 140 000 - 210 000; Plein temps

Résumé du poste

InfoVision Inc. in Newport Beach, CA seeks a Sr Frontend Application Developer to build and maintain web interfaces with React and Angular, and to design GenAI-powered features, including LLM-based assistants and AI-driven search.

This onsite, 12-month role emphasizes performance, accessibility, and secure UI design, REST API integration, and AGILE collaboration with product, design, and engineering teams; familiarity with Azure and AI-assisted tools is valued.

Qualifications

• 10+ years of front-end application development experience.
• Strong expertise in React and Angular.
• Proficient in HTML5, CSS3 and REST API integration.
• Experience integrating GenAI capabilities (LLM APIs, prompt design) into production web apps.
• Knowledge of agentic AI concepts (tool/function calling, multi-step orchestration).
• Experience with Azure, Git, CI/CD, and Agile practices.

Responsabilités

• Develop and maintain web applications using React and Angular.
• Build responsive, accessible, and high-performance user interfaces.
• Integrate frontend applications with REST APIs and enterprise services.
• Design and integrate GenAI-powered features into web applications.
• Build agentic AI experiences with human-in-the-loop review.
• Mentor junior developers and promote technical excellence.
• Collaborate with product, design, architects, and developers to deliver high-quality solutions.
• Drive frontend performance optimization and modernization.
• Leverage AI tools to improve productivity.

Connaissances

React

Angular

HTML5

CSS3

REST API integration

GenAI capabilities

Agentic AI concepts

Azure

Git

CI/CD

Agile development

GitHub Copilot

Outils

Azure

Git

CI/CD

GitHub Copilot

Claude Code

Description du poste

Job Title: Sr Frontend Application Developer (React, Angular, Gen AI, Agentic AI)

Location: Newport Beach, CA (Onsite Role all 5 days)

Duration: 12 months

Key Responsibilities

• Develop and maintain web applications using React and Angular.
• Build responsive, accessible, and high-performance user interfaces.
• Integrate frontend applications with REST APIs and enterprise services.
• Design and integrate GenAI-powered features, such as LLM-based assistants, summarization, and intelligent search, into web applications using APIs from providers such as Azure OpenAI and Anthropic.
• Build agentic AI experiences where AI agents plan and execute multi-step tasks, with human-in-the-loop review, approvals, and visibility into agent actions.
• Apply prompt design, output validation, and guardrails to make AI features reliable, secure, and responsible in the user interface.
• Collaborate with product owners, designers, architects, and developers to deliver high-quality solutions.
• Drive frontend best practices, performance optimization, and application modernization.
• Leverage GitHub Copilot, Claude Code and similar AI tools to improve productivity.
• Mentor junior developers and contribute to technical excellence.

Required Skills

10+ years of front-end application development experience.

Strong expertise in:

• React
• Angular
• HTML5, CSS3
• REST API integration
• Hands-on experience integrating GenAI capabilities (LLM APIs, prompt design, streaming responses, retrieval-augmented generation) into production web applications.
• Working knowledge of agentic AI concepts, including tool/function calling, multi-step agent orchestration, and presenting agent actions transparently in the UI.
• Experience with Azure, Git, CI/CD, and Agile development practices.
• Strong problem-solving, communication, and collaboration skills.
• Independent, proactive thinker with the ability to work effectively in a fast-paced environment and drive solutions with minimal supervision.
• Experience using AI-assisted development tools (such as GitHub Copilot or Claude Code) in software delivery.

Preferred Skills

• Experience with Tailwind CSS, shadcn/ui, Fluent UI, or Material UI.
• Knowledge of front-end performance, accessibility, and security best practices, including AI-specific risks such as prompt injection, data leakage, and unsafe rendering of model output.
• Experience building enterprise-scale applications on Azure
• Familiarity with agent and LLM frameworks (such as LangChain, LangGraph, Semantic Kernel, or AutoGen) and with evaluating LLM output quality