AI Full Stack Engineer, Platform

ParallelDots is seeking a talented AI Full Stack Engineer to join their platform team. This role involves working on cutting-edge AI products, focusing on both backend and frontend development, with a strong emphasis on machine learning infrastructure. You will be instrumental in building and scaling the platform that powers various AI solutions, ensuring robustness and efficiency. The company values innovation and offers an environment where engineers can make a significant impact. You will be part of a dynamic team, contributing to the full lifecycle of product development, from concept to deployment. This is an opportunity to combine your full stack development skills with your passion for artificial intelligence. Key aspects of the role include developing scalable backend services, crafting intuitive user interfaces, and integrating machine learning models into production systems. You will also be involved in optimizing performance and ensuring the security of the platform. The ideal candidate will be proactive, detail-oriented, and possess a strong problem-solving mindset.

- Design, develop, and maintain scalable backend services and APIs - Build and optimize responsive and user-friendly web interfaces - Integrate machine learning models into the platform for production use - Collaborate with data scientists and other engineers to define and implement new features - Ensure the performance, security, and reliability of the platform - Participate in code reviews and contribute to architectural decisions - Troubleshoot and debug issues across the full stack - Stay up-to-date with emerging technologies and best practices in AI and full stack development

- 3+ years of experience in full stack development - Strong proficiency in Python, Node.js, or Go for backend development - Experience with modern frontend frameworks (e.g., React, Angular, Vue.js) - Solid understanding of database systems (SQL and NoSQL) - Experience with cloud platforms (AWS, Azure, GCP) - Familiarity with containerization technologies (Docker, Kubernetes) - Understanding of machine learning concepts and MLOps principles - Excellent problem-solving and communication skills - Bachelor's or Master's degree in Computer Science or a related field