Full Stack Developer; AI, Cybersecurity – Remote | Initially Equity | Part-Time

Our client is a cutting-edge technology company that provides scalable, secure, and efficient solutions for cloud computing and data management. They are at the forefront of cybersecurity and compliance innovation, empowering businesses to leverage the latest technological advancements to mitigate risk, optimise operations, and drive growth. They have played a pivotal role in helping to drive digital transformation initiatives for the payments and settlement, fintech, regtech, central banking, e-commerce, insurance, and online government verticals.

With a passion for innovation and a demonstrated history of client achievements across multiple jurisdictions, they have embarked on an exciting shift to digital operational resilience and compliance, fuelled by their commitment to technological innovation.

Ready to revolutionise cybersecurity through cutting-edge technologies?
Join our client’s high-grade software engineering team and help build the next generation of intelligent cybersecurity solutions. In an era where generative AI is redefining the economics of cybercrime and risk management, markets are growing exponentially, and you’ll help create breakthrough user experiences that translate complex cyber threats into clear business impact.

Our client is seeking an exceptional Senior Full Stack Developer with an impressive early-stage startup track record and entrepreneurial mindset to join their mission of transforming cyber risk from reactive guesswork into predictive, quantified intelligence. You’ll architect and build intuitive applications that integrate with our proprietary AI models, creating seamless experiences that help organisations move from asking “Are we secure?” to “What’s our financial and regulatory exposure, and how do we optimise it?”

The ideal candidate will have a strong background in full-stack development and hands‑on experience with React, Python, AWS cloud services, including integration with AI/ML and other advanced components via secure APIs. You will work closely with cross‑functional teams to design, develop, and deploy scalable and robust AI‑based applications and cloud‑based data products that help address the key security and regulatory compliance needs of our customers and drive business growth.

This is initially an equity‑only, 100% remote, part‑time role (8‑10 hours, flexible), and you’ll be joining a high‑performing international team.

Please ensure you understand what Equity‑Only means when applying for the role.

• Full Stack Development: Design, develop, and maintain web applications, APIs and microservices powered by AI/ML models using modern programming languages, frameworks, and tools for both frontend and backend development.
• AWS Cloud Services: Utilise AWS cloud services and infrastructure to build scalable, reliable, and secure applications, deploy AI/ML models, build RAG or other ML pipelines to integrate software applications with our AI/ML models, and optimise performance and cost‑efficiency.
• Database Management: Design and implement database schemas, queries, and optimisations for efficient data storage, retrieval, and manipulation for powering the data‑driven analytics dashboards and AI/ML models, including RAG or other ML pipelines.
• Testing and Quality Assurance: Write unit tests, integration tests, and end‑to‑end tests to ensure the reliability, performance, and security of applications powered by AI/ML models, and participate in code reviews to maintain code quality and standards.
• Performance Monitoring and Optimisation: Monitor application performance, identify bottlenecks, and implement optimisations to improve scalability, reliability, and efficiency.
• Documentation and
  
  Collaboration:
  
  Document code, APIs and technical specifications, and collaborate closely with cross‑functional teams, including product management, design and QA, to ensure successful project delivery.

• Bachelor’s degree in Computer Science, Engineering, or related field; or equivalent work experience.
• Minimum 5 years’ experience in full‑stack development and integration with AI/ML models.
• Proficiency in programming languages such as Python,…