Full Stack Engineer
Location: Quezon City, Manila
Hybrid | Once a month RTO
Shift: 2:00PM-10:00PM
Job Description:
We are seeking a results-driven engineer to design, develop, and maintain end-to-end web solutions that support AI and automation initiatives. This role requires expertise in modern front-end and back-end technologies, API integration, and cloud-based infrastructure.
Responsibilities:
- Developand maintain scalable front-end applications to support AI and automationprojects.
- Collaboratewith data scientists, AI developers, and other engineers to integrate AImodels and automation workflows into production systems.
- Designand implement user-friendly interfaces using modern front-end technologiesand frameworks.
- Ensurethe performance, quality, and responsiveness of front-end applications.
- Developand maintain back-end services and APIs to facilitate seamless dataexchange between different components of the AI and automation ecosystem.
- Troubleshootand debug issues across the stack to ensure smooth operation of AI andautomation solutions.
- Stayupdated with the latest industry trends and technologies to continuouslyimprove our systems.
Must-Have Qualifications:
- Bachelor'sdegree in computer science, Engineering, or a related field.
- 3+ years of relevant experience.
- Provenexperience as a Front-End, Back-End, or Full-Stack Engineer
- Proficiencyin front-end technologies such as HTML, CSS, JavaScript.
- Strongknowledge of back-end technologies such as Python.
- Experiencewith Django and Flask for web application development.
- Experiencewith RESTful API design and implementation
- Experiencewith database technologies like SQL, NoSQL, and ORM frameworks.
- Understandingof version control systems, preferably Git.
- Understandingof CI/CD pipelines and DevOps practices
- Knowledgeof cybersecurity best practices.
- Abilityto quickly learn and apply enterprise AI tools and technologies to supporttechnical workflows and business objectives.
Nice-to-Have Qualifications:
- Frameworks like React orAngular, Node.js experience is a plus.
- Familiaritywith containerization and orchestration tools like Docker and Kubernetes.
- Experiencewith AI and machine learning frameworks (e.g., TensorFlow, PyTorch).
- Knowledgeof cloud platforms such as Azure, AWS, or Google Cloud
- Experiencewith data visualization tools and libraries.
