Full-Stack Frontend Engineer AI-Driven Web Platforms

KEY RESPONSIBILITIES

• Build and enhance customer-facing Platform UI components that support asset onboarding and media processing workflows.

• Integrate frontend applications with backend services through RESTful APIs.

• Develop and maintain backend services using Node.js.

• Work closely with product managers, designers, QA teams, and developers throughout the software development lifecycle.

• Create new user-facing features that improve customer experience and operational efficiency.

• Optimize applications for speed, scalability, reliability, and performance.

• Validate and secure user input before submission to backend services.

• Participate in code reviews and contribute to coding standards and development best practices.

• Assist in testing efforts, issue resolution, and continuous quality improvements.

• Support project delivery through design, development, testing, deployment, and maintenance phases.

• Troubleshoot application issues and implement creative, scalable solutions.

• Configure and support platform functionality through integrations, plugins, and supporting technologies.

• Stay updated on emerging web development trends, frameworks, AI technologies, and industry best practices.

REQUIRED QUALIFICATIONS

• 3–6 years of experience in Full Stack Development with a strong emphasis on Frontend Engineering.

• Strong experience developing backend applications and services using Node.js.

• Proven experience designing, developing, and consuming RESTful APIs.

• Experience working with PostgreSQL databases.

• Strong understanding of modern web application architecture and application lifecycle management.

• Experience building scalable, responsive, and high-performing web applications.

• Hands-on experience with containerization and orchestration technologies, including:

- Docker

• Familiarity with cloud platforms, preferably AWS.

• Experience with serverless architectures, including AWS Lambda.

• Familiarity with CI/CD pipelines and modern software delivery practices.

• Experience integrating front-end applications with enterprise APIs and data services.

• Knowledge of frontend performance optimization techniques and best practices.

• Strong analytical, troubleshooting, and problem-solving abilities.

• Excellent verbal and written communication skills.

PREFERRED QUALIFICATIONS

• Experience with live video platforms, video streaming applications, or video editing tools.

• Experience building AI-powered solutions utilizing Large Language Models (LLMs).

• Experience developing LLM Agents and MCP-based solutions.

• Working knowledge of Golang.

• Experience with deployment automation and Infrastructure-as-Code tools such as:

- Terraform

- Crossplane

• Exposure to video processing, media workflows, or live-stream visualization platforms.

• Experience incorporating AI capabilities into customer-facing applications.

• Experience working with CMS, eCommerce platforms, or digital content management systems.

• Familiarity with Agile development methodologies and Dev Ops practices.

CERTIFICATIONS

• AWS Certified Cloud Practitioner (Preferred)