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# Angular - AI Application Engineer

- **Company:** Kforce Inc.
- **Location:** Charlotte, NC, United States
- **Contract:** Contract
- **Skills:** Artificial Intelligence, Code Generation, Systems Development Life Cycle, Software Engineering, TypeScript, RxJS, Enterprise Software Applications, Large Language Models, Prompt Engineering, Agentic-AI, AngularJS, React Redux, Virtual Agents
- **Published:** October 31, 2026
- **Apply:** https://www.dice.com/job-detail/f1a438c3-21e9-462a-b1d7-d391a7b79105

## About the Role

* Strong hands-on Angular and TypeScript development experience
 * Strong experience with NGRX, RXJS, observables, and state management
 * Practical experience using AI tools within software development
 * Understanding of LLMs, AI agents, and agent-based workflows
 * Experience with prompt and/or context engineering
 * Strong software engineering fundamentals with the ability to independently evaluate and troubleshoot AI-generated code
 * Strong communication and problem-solving skills

Nice to Have:

 * Experience building or extending AI agent workflows
 * Experience with skills/agent configuration files, hooks, or event-driven workflows
 * Redux or comparable enterprise state-management experience
 * Experience working within an AI-enabled SDLC

## Description

Kforce has a client that is seeking an Angular - AI Application Engineer in Charlotte, NC., We are looking for an experienced Angular/AI Application Engineer to join a team building and enhancing modern enterprise applications while incorporating AI into the software development lifecycle. This is a hands-on engineering role requiring strong Angular fundamentals combined with practical experience using AI to improve how software is built, tested, and maintained.

Key Tasks:

 * Build and enhance enterprise applications using Angular and TypeScript
 * Develop complex state-management solutions using NGRX, RXJS, and observables
 * Incorporate AI and agent-based workflows into the software development lifecycle
 * Use context engineering and prompt engineering to improve AI-assisted development
 * Review, troubleshoot, and validate AI-generated code
 * Develop scalable, maintainable solutions within a collaborative Agile environment