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# AI Engineer

- **Company:** Everforth Apex
- **Location:** Los Angeles, CA, United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Code Review, Large Language Models, Spring-boot
- **Published:** July 17, 2026
- **Apply:** https://www.dice.com/job-detail/20ae3e85-8618-4c84-9c6b-87fad8f1aca3

## About the Role

We are seeking an AI Engineer / Architect for a high-impact platform initiative focused on modernizing internal systems and accelerating engineering productivity through AI. This individual will operate in a player/coach capacity, owning architecture decisions while remaining hands-on in implementation. The ideal candidate has an AI-first mindset with experience leveraging LLMs and AI tooling to design, build, and scale systems., * Experience as a Lead Engineer or Architect in enterprise environments.

 * Hands-on experience with LLMs and AI/ML tooling, such as LLM SDKs and AI-assisted development.
 * Proven ability to architect and implement scalable systems.
 * Demonstrated capacity to lead and mentor engineers while operating in a player/coach role.
 * Experience driving code reviews, technical decision-making, and cross-team collaboration.
 * Communication skills to engage both technical and non-technical stakeholders.

Preferred Qualifications

 * Background in Java / Spring Boot environments.
 * Experience architecting and building authorization platforms or asset management systems.
 * Ability to architect systems and implement them end-to-end.
 * Experience working in AI-first engineering environments or transitioning teams toward AI-driven development.

## Description

* Lead architecture and development of enterprise platforms, including authorization and asset management systems.
 * Act as a technical lead for multiple engineers, providing guidance, oversight, and code review.
 * Architect solutions, contribute hands-on to development, and delegate delivery across team members.
 * Drive daily communication with leadership, including stand-ups and status updates.
 * Leverage LLMs and AI development tools to accelerate engineering velocity and solution design.
 * Translate technical concepts for non-engineering stakeholders and leadership.
 * Support long-term technical planning and roadmap execution.


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