AI full stack developer

Key Responsibilities 1. Full-Stack Web & Mobile Development ● Design, develop, and deploy responsive web applications and cross-platform mobile apps (iOS/Android) that provide seamless user experiences for security analysts. ● Write clean, maintainable, and efficient code across the frontend and backend, ensuring the technical feasibility of UI/UX designs. ● Develop and manage robust APIs and microservices to support high-scale data ingestion and real-time security monitoring. ● Ensure the technical stack remains modern, scalable, and capable of handling complex cybersecurity datasets. 2. AI Implementation & Feature Enhancement ● Build and integrate AI/ML capabilities into the core product, focusing on automated threat detection, predictive analytics, and LLM-driven incident reporting. ● Develop RAG (Retrieval-Augmented Generation) frameworks to enable intelligent querying of security logs and documentation. ● Collaborate on data engineering tasks to ensure high-quality data pipelines for AI model training and inference. ● Proactively research and implement emerging AI tools and libraries that can provide a competitive edge in security operations. 3. Cybersecurity & Product Integrity ● Implement Security by Design principles, ensuring all application layers are protected against common vulnerabilities (OWASP Top 10, etc.). ● Optimize application performance for low latency and high availability, critical for real-time security response environments. ● Conduct regular code reviews and security testing to maintain high software quality and integrity. 4. Product Strategy & Collaborative Innovation ● Work closely with the Founder and internal stakeholders to translate product requirements into technical specifications. ● Contribute to the product roadmap by identifying opportunities where AI can solve complex client pain points. ● Participate in agile development cycles, ensuring timely delivery of features and proactive communication regarding technical blockers. Professional Expectations ● Experience: Demonstrate at least 3 years of professional experience in full-stack development with a proven track record of shipping production-ready applications. ● Proactivity: Display a get-things-done attitude, taking ownership of features from conception to deployment. ● Team Spirit: Act as a collaborative team player, sharing knowledge and supporting peers to achieve collective goals. ● Learning Mindset: Show a strong desire to stay updated with the latest AI and cybersecurity trends and a willingness to master new frameworks quickly. ● Communication: Maintain high standards of clarity and transparency in both technical documentation and verbal updates.