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# Mid-Level LLM Software Engineer [$300k/yr+] TS/SCI-FS Poly

- **Company:** SYSTOLIC, INC.
- **Location:** Herndon, VA, United States
- **Experience:** Experienced
- **Salary:** $300,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Apache Tomcat, Automated Storage and Retrieval Systems, Unit Testing, Microsoft Azure, Code Review, DevOps, Elasticsearch, Cisco Nexus Switches, Node.Js, Software Systems, Transport Layer Security, Enterprise Software Applications, Cloud Platform System, ReactJS, Large Language Models, Generative AI, Git, Web Technologies, Restful APIs, Jenkins
- **Published:** July 3, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9010890/mid-level-llm-software-engineer-300kyr-tssci-fs-poly

## About the Role

* Degree: Technical bachelor's degree or equivalent experience
 * Years of experience: 13+ years
 * Total Compensation: $300k+ yearly (tentative)

## Description

* Participate in Lean Agile development.
 * Design, develop, and modify software systems.
 * Implement scalable search and retrieval systems leveraging Elasticsearch.
 * Develop LLM-powered capabilities, including RAG pipelines.
 * Build Single Page Applications using React, HTML/CSS.
 * Develop RESTful APIs with Node.js.
 * Troubleshoot web technologies including Tomcat and SSL.
 * Utilize DevOps tools such as Git, Jenkins, and Nexus.
 * Work with AWS, Azure, and vector databases.
 * Integrate LLMs into enterprise applications., * Participate in Lean Agile scrums, sprints, and grooming sessions.
 * Consult and coordinate for problem resolution, task scheduling, and resource requirements.
 * Collaborate with integrated teams of staff and contractors.
 * Understand and work within cloud environments like AWS and Azure.
 * Coordinate with security, operations, engineering, and testing teams for technical support.
 * Design, develop, and modify software systems.
 * Document and track vendor software roadmaps for updates.
 * Perform unit testing and code reviews.
 * Design and implement scalable search and retrieval systems leveraging Elasticsearch.
 * Develop and integrate LLM-powered capabilities, including Retrieval-Augmented Generation (RAG) pipelines.
 * Build Single Page Applications using React, HTML/CSS.
 * Develop RESTful APIs with Node.js.
 * Troubleshoot web technologies including Apache Tomcat and SSL.
 * Utilize DevOps tools such as Git, Jenkins, and Nexus.
 * Work with vector databases.
 * Integrate LLMs into enterprise applications.


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