Full Stack Developer

ELLIOTT MOSS CONSULTING PTE. LTD.; Glasgow; On-site; GBP 50,000 - 75,000; Full time

Job summary

A leading company is seeking an AI Full Stack Developer with expertise in AI and cybersecurity. The successful candidate will design and implement AI solutions to enhance cybersecurity capabilities, utilizing technologies such as Python, TensorFlow, and AWS. This position requires collaboration with teams to build effective detection systems and a solid understanding of AI/ML techniques.

Qualifications

• 3 years of experience in cybersecurity operations or similar function.
• Familiarity with the MITRE ATT&CK framework.
• Demonstrated ability to break down complex problems and communicate solutions.

Responsibilities

• Design, develop, and deploy full-stack AI solutions focused on cybersecurity.
• Integrate AI models into applications and collaborate with cybersecurity teams.
• Maintain data pipelines, APIs, and visualization tools for AI insights.

Skills

AI/ML technologies

Cybersecurity principles

Programming in Python, C++/C#, or R

Data science

Natural Language Processing

Machine Learning algorithms

Threat intelligence

Cloud platforms (AWS, Azure, GCP)

Education

Bachelor’s or Master’s degree in Computer Science, Information Technology

Tools

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

Big data platforms (Spark, Hadoop, Elastic Stack)

Job description

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.