Software Engineer (AI Engineer)

Python, LLM integration, data engineering, Agile, Git, Jira, Confluence, static analyzers, RAG framework, relational and vector databases, RUST, Claude Code, Codex, and CI/CD. Due to federal contract requirements, United States citizenship and an active TS/SCI security clearance and polygraph are required for the position. Required • Must be a US Citizen • Must have TS/SCI clearance with active polygraph • Must have eight (08) years of direct/relevant experience • Bachelor’s degree in computer science or related discipline from an accredited college or university is required • Proficiency in Python, LLM integration, and data engineering • Experience with static analyzers, RAG framework, and relational and vector databases • Familiarization with Agile, Git, Jira, and Confluence • Collaborate closely with technical leadership to design, develop, and maintain LLM orchestration frameworks that coordinate static analyzers, retrieval-augmented generation (RAG) systems, and automated testing pipelines • Develop and optimize data preprocessing pipelines to ingest, clean, transform, and vectorize product documentation, source code, and test results for LLM consumption • Design and implement database solutions to support RAG architectures, artifact storage, audit trails, and metadata management • Collaboratively work with systems engineers to architect and deploy networked AI tools within secure enclaves and conduct performance profiling, optimization, and scalability analysis of mission systems • Support security assessments and authority to operate (ATO) processes • The engineer will use AI/ML to develop tools and techniques to fine‑tune Large Language Models (LLM) that assist in enhanced vulnerability identification and mitigation capabilities. Nice to Have • Familiarization with RUST, Claude Code, Codex, and CI/CD. Benefits Package • Affordable healthcare options with 80% employer paid premium PLUS a company‑funded HSA • Comprehensive Dental insurance • Vision with 80% employer paid premium • Employer paid Life insurance 100% • Employer paid Short‑term and Long‑term disability 100% • Annual training, continued education, and professional memberships reimbursement • Unlimited access to Red Hat Enterprise Linux and AWS training and accreditation • Annual reimbursement for technology i.e. phones, computers, printers, etc • 401(k) with company match up to 5% with 100% immediate vesting (after 90 days of employment) Environment and Perks • Professional development investment and paid time off for training • Contract and work locations in Maryland, Virginia, Colorado, Texas, Utah, Florida and Hawaii • Team building events throughout the year such as Destination Family Events, Holiday Party, Monthly Get‑Togethers • Leadership Team engagement and mentorship • Performance Recognition Program • Complimentary branded apparel Constellation Technologies is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low‑income status or any other status or characteristic protected by applicable law. Job applicants can submit questions about CTI’s equal employment opportunity policy to [email protected]. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. The pay range for this job, with multi-levels, is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.