AI Engineer

Ampcus Inc; Gaithersburg (MD); On-site; USD 80,000 - 140,000; Full time

Job summary

An established industry player is seeking a talented AI Engineer to drive innovation in cybersecurity automation. This role focuses on leveraging Python and Large Language Models (LLMs) to design and implement AI-driven solutions that enhance incident response and threat detection workflows. You'll collaborate with cybersecurity experts to integrate cutting-edge AI capabilities into Security Orchestration and Automation platforms, ensuring a proactive approach to security challenges. If you have a passion for AI and a desire to make a significant impact in the cybersecurity domain, this opportunity is perfect for you.

Qualifications

• 3+ years in AI/ML engineering focusing on Generative AI and LLMs.
• Proficiency in Python and AI/ML frameworks like TensorFlow and PyTorch.

Responsibilities

• Design and implement LLM-based AI models for threat detection.
• Collaborate with teams to integrate AI into cybersecurity platforms.

Skills

Python

Generative AI

Large Language Models (LLMs)

Problem-solving

Tools

TensorFlow

PyTorch

Hugging Face

MISP

Job description

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 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.