Job Summary:
We are seeking a highly skilled and motivated AI Full Stack Developer with a strong foundation in cybersecurity operations and artificial intelligence technologies. The ideal candidate will have deep technical expertise in AI/ML, data science, and programming, alongside a solid understanding of cyber threat detection and defensive operations frameworks. You will be instrumental in designing and implementing full-stack AI-driven solutions to enhance our cybersecurity capabilities.
Key Responsibilities:
· Design, develop, and deploy full-stack AI solutions with a focus on cybersecurity threat detection and response.
· Apply AI/ML techniques such as NLP, supervised/unsupervised learning, and generative AI to real-world security data.
· Integrate AI models into scalable applications using modern full-stack development tools and frameworks.
· Collaborate with cybersecurity teams to build and enhance detection and mitigation systems based on frameworks like MITRE ATT&CK.
· Develop and maintain data pipelines, APIs, dashboards, and visualization tools to support AI model insights.
· Write clean, well-documented, and secure code using Python, C++/C#, or R.
· Leverage libraries such as TensorFlow, PyTorch, and Scikit-learn to prototype and optimize AI models.
· Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
· Stay up-to-date with emerging AI trends, threat intelligence, and evolving attack techniques.
· Participate in code reviews, threat modeling, and architectural design discussions.
Qualifications & Skills:
· Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
· 3 years of experience in a cybersecurity operations or similar function.
· Strong knowledge of cybersecurity principles, frameworks, and threat intelligence (e.g., MITRE ATT&CK).
· Proficient in AI/ML technologies, including Natural Language Processing, Generative AI, and Machine Learning algorithms.
· Experienced in full-stack development with proficiency in Python, C++/C#, or R.
· Familiarity with AI libraries and tools such as TensorFlow, PyTorch, and Scikit-learn.
· Demonstrated ability to break down complex technical problems and communicate solutions effectively.
· Excellent analytical, written, and verbal communication skills.
· Certifications such as SANS, OffSec (OSCP/OSCE), or similar are a plus.
· Self-starter with the ability to work both independently and collaboratively in a fast-paced, agile environment.
Preferred Experience:
· Experience with cloud platforms (AWS, Azure, GCP) and deploying AI services in cloud-native environments.
· Familiarity with containerization (Docker, Kubernetes) and DevOps pipelines.
· Exposure to security operations center (SOC) tools and SIEM platforms.
· Experience working with big data platforms such as Spark, Hadoop, or Elastic Stack.
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