[DID] Lead Software Engineer (Automation)

About the Role:

We are seeking a highly skilled Lead Software Engineer to spearhead the development of our innovative graph and LLM application and deliver these applications to users via our website. You will be instrumental in designing and implementing robust system architectures that efficiently handle complex data interactions and user interfaces in these applications.

Key Responsibilities:

• Develop scalable front-end architecture using modern frameworks
• Maintain back-end services and APIs to support graph-based and LLM-based applications with cross-functional teams to align the application with business requirements and user needs.
• Manage system robustness, security, and data protection in all stages of development and deployment.
• Manage a team of engineer in Automation Team
• Manage the architectural decisions for system design to support high-performance and scalable products.

Requirements:

1. At least 5 years of experience in full stack development with a strong portfolio of successful projects.
2. Experience in Golang, Python, JavaScript, and frameworks like Node.js for backend development also with front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Vue.js.
3. Understanding of graph databases and algorithm (e.g., Neo4j), as well as SQL and NoSQL databases.
4. Explored with AI, machine learning, and LLM technologies and frameworks (e.g., Scikit-learn, Autogen, Langchain).
5. Understanding of system design and architecture principles, with demonstrable experience in architecting scalable applications using Microservice and Clean Architecture approaches.
6. Developing Progressive Web Apps (PWA) for enhanced desktop user experiences.
7. Problem-solving capabilities and the ability to perform in a fast-paced, dynamic team environment.
8. Ability to lead projects and work collaboratively in a dynamic environment.
9. Learner with a strong eagerness to stay ahead of technology trends and continuously enhance personal and team knowledge.
10. Proficiency in English.