AI Engineer

Job Overview

We are seeking an AI Engineer with expertise in Generative AI, MLOps, and AI agent development. The ideal candidate will design, develop, deploy, and maintain scalable AI solutions, leveraging modern machine learning operations practices and advanced AI frameworks to build intelligent, production-ready systems.

Responsibilities

• Design and develop generative AI models and AI-driven applications.
• Build and deploy AI agents for automation and intelligent workflows.
• Implement and manage MLOps pipelines for model training, testing, deployment, and monitoring.
• Optimize model performance and scalability for production environments.
• Collaborate with cross-functional teams to integrate AI solutions into applications.
• Ensure reliability, security, and efficiency of AI systems.
• Monitor model performance and implement continuous improvements.
• Document processes, models, and system architectures.

Requirements/Must Have

• Strong experience in Generative AI and machine learning model development.
• Experience with MLOps practices and tools.
• Hands-on experience in AI agent development.
• Proficiency in programming languages such as Python.
• Experience with model deployment and scalable system design.

Skills

• Generative AI model development.
• MLOps and pipeline automation.
• AI agent design and implementation.
• Data processing and model optimization.
• Cloud and deployment technologies.

Qualification And Education

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.