AI Engineer

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.



Job Title: AI Engineer



Location(s): Gaithersburg, MD

• We are looking for a highly skilled AI Engineer with expertise in Python and Large Language Models (LLMs). This role involves designing and implementing AI-driven solutions to enhance cybersecurity automation, leveraging LLMs for real-time incident response, and integrating AI capabilities into Security Orchestration, Automation, and Response (SOAR) platforms.

Key Responsibilities:

• Design, develop, and implement LLM-based AI models to automate threat detection and incident response workflows.
• Work with security analysts to integrate AI-driven recommendations into SIEM and SOAR systems.
• Optimize and fine-tune LLMs using structured incident response data and threat intelligence sources like MISP.
• Develop Python-based automation scripts to enhance AI-driven cybersecurity processes.
• Experiment with innovative AI-driven user interfaces, including holographic representations for enhanced user experience.
• Collaborate with business analysts and cybersecurity teams to translate business needs into technical solutions.
• Stay updated with the latest advancements in Generative AI and cybersecurity automation.

Qualifications:

• 3+ years of experience in AI/ML engineering with a strong focus on Generative AI and LLMs.
• Proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
• Experience in integrating AI-driven solutions into cybersecurity platforms (SOAR, SIEM).
• Understanding of threat intelligence tools like MISP and cybersecurity incident response processes.
• Familiarity with data preprocessing, model training, and fine-tuning LLMs on domain-specific data.
• Strong problem-solving skills and a passion for innovation in AI-driven automation.

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.