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AI Engineer

Job in Gaithersburg, Montgomery County, Maryland, 20883, USA
Listing for: Ampcus Inc
Full Time position
Listed on 2026-02-07
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below

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

Job Summary:

  • 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 Tensor Flow, 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.
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