The Frontend Developer will create user-friendly interfaces for an AI workflows platform, optimizing performance and integrating with backend systems.

The Full Stack Engineer will develop and maintain features for a lead generation platform, utilize React for UI, implement backend services with TypeScript and Python, and optimize performance.

The role involves designing and implementing cloud infrastructure, managing Kubernetes clusters, maintaining CI/CD pipelines, and ensuring system security and performance.

The Backend Engineer will build an AI-powered lead generation platform, design APIs, collaborate with ML engineers, and maintain code quality.

Develop and deploy machine learning models for lead scoring, implement NLP systems, and optimize model performance while collaborating with the backend team.

The Full Stack Engineer will develop and maintain features for a lead generation platform, focusing on responsive UI with React and backend services in TypeScript and Python.

Design and implement scalable data pipelines for AI models and analytics, optimizing performance and collaborating with ML Engineers.

The QA Automation Engineer will design automated test frameworks, create end-to-end test suites, develop API testing strategies, and maintain testing infrastructure while collaborating with development teams.