Software Engineer (LLM)

• Design and deploy agentic AI workflows leveraging autonomous planning and tool use to streamline internal operations and improve system efficiency
• Design, develop, and maintain automated workflows using Python
• Conduct vulnerability analysis to support mission-critical initiatives
• Develop and document new tradecraft
• Execute customer requests and provide technical solutions aligned with mission needs
• Perform customer outreach to understand requirements and support strategic initiatives

• Bachelor’s degree in a technical discipline (Additional 4 years of experience may substitute degree)
• 12 years of experience in Software Engineering
• Deep experience leveraging LLMs to solve complex problems, including prompt engineering and model optimization
• Experience integrating AI into automated pipelines and production workflows using APIs and orchestration tools
• Strong experience with Python, including data parsing and manipulation
• Experience with networking concepts and protocols
• Experience conducting open source research
• Familiarity with Git
• Familiarity with Atlassian tools, including Jira and Confluence

• Your New Career
• We are a 100% employee-owned company, so our employees see the benefit of their contributions and have a stake in our overall success!
• Competitive 15% retirement contribution! (5% 401K match & 10% ESOP)
• 4 weeks paid time off that is never “use or lose”, 12 paid holidays, comp time, overtime, AND flexible work hours
• 80 hours of paid parental leave with an additional $8,000 supplemental payment upon returning from maternity
• Medical, dental, & vision benefits for both individuals and families (those who waive medical benefits will receive an additional $4,160/year)
• Annual lifestyle bonus of $600 - use it towards gyms/fitness, new tech, or your HSA!
• Annual merit increases & performance-based bonuses
• Term life insurance, short-term disability, & long-term disability

Salary range: $170,000 - $240,000 Disclaimer: Salary for this position, along with additional compensation options, will be determined on an individual basis following the interview process, considering various factors such as years of experience, skills, education/certifications, contract specifications, market conditions, etc.