Top Tech Jobs & Startup Jobs

As a Graphics AI Software Engineer, you will collaborate with research and engineering teams to design and implement AI-powered 3D graphics solutions, pioneering innovations in computer vision and spatial computing while utilizing the Evergine graphics engine. You'll also drive AI innovation in architectural design and collaborate within an AGILE environment to create advanced AI models for dynamic 3D applications.

As a Data Engineer, you will design, build, and maintain scalable data pipelines and cloud-based data architectures. Responsibilities include database administration, performance optimization, security management, and collaborating with development teams to enhance database efficiency.

As a Fullstack Developer, you will be responsible for designing, developing, and deploying software solutions, collaborating with teams using Agile methodologies, and implementing best practices for code quality. You'll also contribute to architectural design and help guide project decisions while keeping up with the latest technologies.

As a Fullstack Developer, you will design and develop software solutions for challenging projects, participate in architectural design, work with scrum methodology, and ensure best practices in coding. You will collaborate with a team to push technical boundaries and continuously learn.

As a Senior Full Stack .NET Developer, you will work on projects from scratch, design software architecture, and be involved in development practices within multidisciplinary teams using AGILE methodologies. You will also ensure the implementation of best practices and remain updated with the latest technologies.

Plain Concepts invites talents to apply even if no specific positions are available. The company values high-potential recruits and encourages proactive applications for future openings.

The Senior Data Scientist will work within an international AI/ML team to develop tailored solutions, train and deploy ML models, and integrate them into production. Responsibilities include data analysis, building production-ready ML solutions, and ensuring software engineering best practices are followed.