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# TTG-358 - AI/LLM Software Engineer - $293,750 Total Compensation

- **Company:** TTG Solutions Inc.
- **Location:** Chantilly, VA, United States
- **Experience:** Expert
- **Salary:** $293,750.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Systems Engineering, Microsoft Azure, Cloud Engineering, Signals Intelligence, Computer Networks, Data Security, DevOps, Zero Trust Network Access, Software Engineering, Systems Integration, Google Cloud, Enterprise Software Applications, Large Language Models, Gitlab-ci, Kubernetes, Information Technology, Low Latency, Machine Learning Operations, Cyber Warfare, Data Pipelines, Docker
- **Published:** September 25, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9195180/ttg-358-aillm-software-engineer-293750-total-compensation

## About the Role

TTG Solutions is seeking a highly skilled professional to lead cyber and SIGINT exploitation of large-scale networks and data. We are looking for an innovative thinker capable of developing new principles and solving complex problems while mentoring technical team members. Responsibilities include applying leading-edge principles to uncover emerging adversary capabilities, developing innovative solutions for complex problems, integrating AI and LLMs into existing systems, and maintaining enterprise-grade applications. The role also involves supporting cyber operations, ensuring secure data governance, and collaborating across technical teams to design scalable systems.Senior Requires a minimum of six (6) years of experience specific to the skill.

Requirements: 6 yrs - 10 yrs 11 mo

 * 7+ years software development or systems engineering
 * 5+ years supporting offensive or defensive cyber operations
 * Experience integrating AI and LLMs into legacy architectures and enterprise systems
 * Docker and Kubernetes proficiency
 * Knowledge of zero-trust architecture and secure API gateways
 * Expertise in AWS, Azure, or GCP infrastructure optimized for AI/ML
 * Understanding of network engineering and low-latency protocols
 * Experience in data-pipeline architectures for model inference and training
 * Ability to mentor junior engineers and collaborate across technical teams

 * MLOps/LLMOps tools and CI/CD pipelines such as MLflow, Kubeflow, or GitLab CI
 * High-performance networking software and hardware
 * Master's degree in Computer Science, Artificial Intelligence, or Systems Engineering
 * Cloud Architecture or DevOps certifications

This position requires an active TS/SCI clearance with Polygraph. Total compensation is the total combination of salary, benefits, retirement, bonuses, etc... and it is calculated using the following formula