We are a fast-growing AI startup looking for a passionate Software Engineer to join our team and help build next-generation AI platforms. If you're excited about combining modern frontend and backend technologies, working with containerized environments, and deploying systems on the cloud, we'd love to hear from you.
Responsibilities
- Frontend Development: Build and maintain web applications using , ensuring an excellent user experience.
- Backend Development: Develop and manage backend services using Python web frameworks, optimizing for performance and scalability.
- AI Platform Development: Contribute to platforms involving machine learning, deep learning, and LLM (Large Language Model) applications.
- Container Management: Utilize and maintain containerized environments (e.g., Docker) to streamline development and deployment.
- Software Development Lifecycle: Plan, design, implement, test, and maintain software products with a focus on quality and usability.
- Cloud Deployment: Deploy and manage systems on cloud platforms like Azure or GCP to ensure high availability and scalability.
- API Design & Documentation: Design RESTful APIs and maintain clear, developer-friendly documentation.
Qualifications
- Bachelor's degree or equivalent experience in Computer Science or related field
- Strong self-management and time planning skills.
- Willingness to attend evening meetings; daytime working hours are flexible (max 8 hours/day).
- Ability to visit client sites occasionally to gather requirements and understand real-world conditions.
- Passionate about working in and contributing to startup environments and early-stage ventures.
- Experience in large-scale software development projects and/or DevOps practices is a strong plus.
- Proven ability to deliver products from concept to deployment is highly valued.
- A collaborative mindset with strong communication skills, capable of working efficiently in cross-functional teams.
- Self-motivated and highly responsible, with a willingness to share knowledge and contribute to team growth.
- Comfortable with a fully remote work model, while able to attend occasional on-site client visits when required.