Lead AI-Driven Development: Architect and implement end-to-end AI-powered features, researching and prototyping new ways to enhance Contentfuls platform.
Fullstack Engineering Excellence: Design, develop, and maintain scalable, high-performance frontend and backend components using TypeScript, React, and Node.js.
AI Integration: Leverage AI models, APIs, and automation services to create intelligent content personalization, automation, and augmentation capabilities.
Service Architecture: Design and build robust, scalable, and secure backend services to power AI-driven features.
Technical Leadership: Provide mentorship, guidance, and technical leadership to mid-level and junior engineers, fostering a culture of innovation and continuous improvement.
Code Quality & Optimization: Drive best practices in software design, testing, and deployment, ensuring AI-driven solutions are efficient, reliable, and maintainable.
Cross-Team Collaboration: Work closely with product managers, designers, and engineers to translate ideas into production-ready AI-powered experiences.
Stay Ahead of the Curve: Continuously explore and evaluate emerging AI technologies to drive innovation and enhance Contentfuls capabilities.
Unsere Erwartungen an dich
Scalable API & Service Design: Strong track record of designing and implementing robust, scalable, and secure APIs (REST and GraphQL).
High-Performance Systems: Ability to optimize performance for AI-driven workflows, handling large-scale content automation efficiently.
Problem-Solving & Innovation: Ability to navigate ambiguous technical challenges and drive solutions from ideation to implementation.
Technical Leadership: Strong mentorship and collaboration skills, guiding teams to make sound architectural decisions and adopt AI technologies effectively.
Cross-Team Communication: Ability to articulate technical concepts to both technical and non-technical stakeholders, bridging the gap between AI capabilities and business needs.
Agile & Fast-Paced Execution: Comfortable working in a fast-moving, iterative environment, balancing short-term goals with long-term technical vision.
Foundational AI Knowledge: Solid understanding of LLMs (GPT, BERT), prompt engineering, and AI UX design principles.
AI Ethics & Responsible AI Practices: Awareness of bias mitigation, fairness, and security considerations in AI-driven products.
Erfahrung
Fullstack Mastery: Deep proficiency in TypeScript, React, and Node.js, with extensive experience in scalable web applications and enterprise software architecture.
AI Enthusiasm & Integration: Passion for AI-driven innovation, with hands-on experience integrating AI/ML APIs, models, or services into real-world products.
Cloud & Infrastructure Experience: Proficiency with Docker and Kubernetes for deploying and orchestrating microservices. Experience leveraging cloud platforms (AWS, Azure, GCP) for building AI-enabled solutions.
AI/ML Feature Development: Experience building AI-powered features in a production environment.
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