Description:
If you are passionate about advancing AI technology, enabling teams with powerful tools, and redefining how we build and deliver AI solutions, we’d love to have you join us. Together, we’ll build systems that set new standards for AI integration and empower our teams to create smarter, more impactful content solutions.
What to expect?
- Collaborate and Innovate: Work closely with product managers, designers, and other engineers to build best-in-class AI-enabled features for our customers, ensuring seamless integration of AI technologies with existing systems.
- Full Stack Development: Design, develop, and maintain scalable frontend and backend features using TypeScript, React, and Node.js, while ensuring they are compatible with AI components, services, and APIs.
- AI Integration: Implement and integrate AI technologies, such as generative AI, machine learning models, or NLP, to enhance our platform’s capabilities, optimize processes, and improve user experiences.
- Holistic Thinking: Think critically about the interactions between AI models and product components to ensure a cohesive and intuitive user experience.
- Rapid Problem-Solving: Quickly fix bugs and solve problems, particularly related to AI performance, model integration, or data pipeline issues, to enhance customer satisfaction.
- Continuous Improvement: Participate in code reviews and contribute to improving our AI development processes, ensuring that the AI components are scalable, efficient, and maintainable.
- Stay Current: Keep up-to-date with the latest industry trends, particularly in the domains of AI and machine learning, ensuring the platform stays competitive by leveraging cutting-edge AI technologies.
What You Need To Be Successful
- Full Stack Development: Proficiency in TypeScript, React, and Node.js with a solid understanding of clean code practices and exposure to enterprise architectural design patterns.
- API and Service Design: Demonstrated experience in developing APIs and services capable of handling moderate traffic efficiently.
- Asynchronous Systems: Experience in building and maintaining asynchronous systems to support automation and bulk data processing.
- Containerization and Orchestration: Hands-on experience with Docker and Kubernetes, particularly in deploying microservices or simple AI models.
- Cloud Services Exposure: Familiarity with cloud platforms like AWS, Azure, or GCP, and experience with services like AWS Lambda, Google Cloud Functions, or Azure App Services is a plus.
- Problem-Solving Approach: A proactive problem-solver who contributes practical ideas for improving workflows and enabling product enhancements.
- Team Collaboration: Strong communication skills and a proven ability to work effectively within a team.
- Adaptability: Capable of prioritizing tasks and managing workloads in dynamic environments, aligning systems with evolving business needs.