Develop and enhance functionalities of high-load applications, design architecture, implement services, and ensure quality monitoring in a remote work environment.

The Senior Automation QA Engineer will design and develop automated test scripts, maintain and optimize them, manage CI/CD pipelines, and test environments for core products.

The Chief of Product will oversee product strategy, manage P&L for international internet products, and guide a dedicated product team.

The Mobile Application Developer will focus on mobile app development, cross-platform solutions, code review, API integration, performance optimization, and UI/UX implementation for Cupid Media.

Lead the development of ML services in conversational AI, optimizing communication between bots and users through advanced NLP techniques.

Lead and develop computer vision models for conversational AI, optimizing user interaction and communication through innovative technology solutions.

Create immersive interactive narratives for couples, develop AI scripting, and collaborate with designers to enhance user experience.

Lead front-end development of web applications, ensuring responsiveness, performance, and quality through code reviews. Collaborate with UX/UI designers and back-end developers, mentor junior staff, and troubleshoot issues.

The Senior Frontend Developer will design application architecture, develop new features, implement components, conduct code reviews, and ensure quality control while collaborating with other departments.

The Senior IT Recruiter will handle full cycle IT recruitment, engage with internal teams to define job profiles, source candidates, and enhance HR strategies for talent attraction.

The CTO will manage a development team, ensure technology alignment with business goals, integrate payment systems, and oversee infrastructure stability.

Conduct experiments with large language models, develop evaluation methodologies, optimize AI model inference, and collaborate with cross-functional teams to integrate AI solutions.

The ML Ops Engineer will set up and support ML bot inference in live environments, implement CI/CD for ML solutions, and enhance ML inference logic.

As a System Analyst, you will create knowledge bases, manage feature lists, document requirements, coordinate specifications, visualize processes, and ensure effective communication.