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# AI Engineer

- **Company:** Everforth Apex
- **Location:** Norfolk, VA, United States
- **Experience:** Experienced
- **Contract:** Temporary to permanent
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Command-Line Interface, Encodings, Computer Programming, Data Infrastructure, Data Normalization, Software Design Patterns, Linux, Design of User Interfaces, Information Retrieval, Python (Programming Language), Cloud Services, Software Engineering, Cloud Platform System, Retrieval-Augmented Generation, Multi-Agent Systems, Prompt Engineering, Information Technology, Text Analysis, Restful APIs, Oracle Cloud Infrastructure, Microservices
- **Published:** August 4, 2026
- **Apply:** https://www.dice.com/job-detail/cb7070f1-0319-47a8-9e97-c4c20c93a257

## About the Role

* Proven experience building multi-agent systems using frameworks like LangGraph, AutoGen, or equivalent tools.
 * Deep understanding of RAG architecture, vector databases, embedding techniques, and information retrieval systems.
 * Strong programming proficiency in a programing language similar to Python, and experience building robust RESTful APIs.
 * Hands-on experience deploying and managing cloud services within AWS or OCI.
 * Proficiency working with Linux operating systems and command-line interfaces.
 * Expertise in text analytics, prompt engineering, data normalization, and cleaning techniques., * Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
 * 7+ years of professional software engineering experience, with at least 2 years dedicated to production AI, ML, or NLP development.
 * Active Secret or the ability to maintain and hold and active clearance
 * IAT II or higher
 * Agile environment experience

## Description

* Architect and implement scalable multi-agent systems using advanced routing and hierarchical design patterns.
 * Build, optimize, and maintain production-grade Retrieval-Augmented Generation pipelines and semantic search systems.
 * Design and manage data preprocessing workflows, chunking strategies, and vector database infrastructure.
 * Deploy, secure, and monitor AI applications and microservices within cloud environments.
 * Collaborate closely with data scientists, UI/UX designers, and subject matter experts to integrate AI features into user-facing products.
 * Establish and enforce security best practices for large language model implementations and data privacy.


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