AI Developer / Engineer

Ardent Principles provides advanced services in data science, data engineering, software engineering, AI solutions, cybersecurity, staff augmentation, and IT program management. The AI Developer/Engineer will build, deploy, and maintain enterprise-grade systems, integrate AI and LLMs into legacy and enterprise architectures, and support offensive and defensive cyber operations. The role also involves secure cloud and infrastructure engineering, collaboration with technical teams, and mentoring junior engineers.

Responsibilities:

• 7+ years’ experience in software development or systems engineering, building, deploying, and maintaining enterprise-grade applications
• 5+ years’ experience supporting offensive or defensive cyber operations
• Integrating modern AI and Large Language Models (LLMs) into existing legacy architectures, APIs, and enterprise systems
• Working with containerization, orchestration, and cluster management platforms, including Docker and Kubernetes
• Knowledge of zero-trust architecture, secure API gateways, and data governance controls for AI/LLM deployments
• Knowledge of cloud infrastructure services, such as AWS, Azure, or GCP, optimized for AI/ML and distributed processing such as GPU instances, vCPUs, and high-speed networking fabrics
• Knowledge of network engineering fundamentals, low-latency protocols, system security, and data pipeline architectures supporting model inference and training
• Ability to collaborate with cross-functional technical teams, translate complex client requirements into scalable system designs, and mentor junior engineers
• Working with MLOps/LLMOps tools and CI/CD pipelines, such as MLflow, Kubeflow, or GitLab CI
• Working with high-performance networking, software, and hardware
• Master’s Degree in Computer Science, Artificial Intelligence, or Systems Engineering
• Professional certification in Cloud Architecture or DevOps, such as AWS Certified Solutions Architect, Azure Solutions Architect Expert, or CKA