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# Software Engineer (SWE1) D.26.0235

- **Company:** Dover Networks LLC
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $163,000.0 - $178,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Engineering, Bash Shell, C++ (Programming Language), Computer Networks, Software Debugging, Python (Programming Language), TypeScript, Web Application Frameworks, Scripting, ReactJS, Large Language Models, Prompt Engineering, Generative AI, Agentic-AI, Git, Software Coding, Model Context Protocol, Software Version Control, Automation Anywhere, Programming Languages
- **Published:** October 26, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9262447/software-engineer-swe1-d260235

## About the Role

* Proficiency in at least one scripting or programming language (Python or Bash preferred).
 * Understanding of software engineering fundamentals, including version control (Git), testing, and debugging.
 * Basic knowledge of operating systems and networking concepts.
 * Familiarity with AI/LLM tools and an interest in applying them to automate routine tasks.
 * Ability to write clear, organized technical documentation.
 * Strong communication skills and willingness to learn from senior engineers and Subject Matter Experts (SMEs).

Nice to Haves:

 * Experience or coursework with AI harnesses and agentic workflows, including Skills or MCP servers.
 * Exposure to systems engineering concepts, from design through delivery.
 * Experience with C++.
 * Familiarity with Large Language Model (LLM) prompt engineering, evaluation, or Retrieval-Augmented Generation (RAG).
 * Familiarity with web development frameworks (e.g., React, TypeScript) for building user-facing tools.
 * Exposure to Job Qualification Standards (JQS) or other training and certification documents.

YOE Requirement: 3 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.

## Description

* Participate in discussions with training staff and stakeholders to help capture requirements and understand process bottlenecks.
 * Implement and test components of AI-driven solutions that streamline readiness and certification workflows, with guidance from senior engineers.
 * Assist in configuring AI harnesses, including developing and maintaining custom Skills and Model Context Protocol (MCP) servers that connect AI workflows to organizational data and tools.
 * Contribute across the development lifecycle, including prototyping, coding, testing, and delivery of assigned features.
 * Build and maintain automation scripts and tools using Python and Bash.
 * Use AI tools to assist in drafting, reviewing, and maintaining JQS and TQS documentation under the direction of the training team.
 * Write clear technical documentation, user guides, and training materials to support adoption of new AI tools.
 * Learn and apply team coding standards, version control practices, and review processes.