Build and maintain full-stack applications using modern technologies, develop APIs, implement automation workflows, and collaborate with teams to deliver impactful features.

Lead the design and architecture of distributed backend systems, drive cloud infrastructure on AWS and GCP, mentor engineers, and promote best practices.

The Product Manager will lead AI-driven automation initiatives, defining and delivering intelligent systems to enhance decision-making and reduce manual efforts, while ensuring compliance and governance in AI implementation.

Lead the redesign of the Carter platform's UI/UX, develop conversational workflows, design prototypes, and create a design system within one month.

The Director of Engineering will lead and scale the engineering team, drive technical strategy, oversee product development, and ensure data security and compliance.

Create and manage engaging content across LinkedIn, design graphics, and ensure brand consistency in digital communications while collaborating with teams.

The Financial Controller will manage financial operations, reporting, and compliance across multiple entities while developing financial strategies and systems. The role involves handling accounts payable and receivable and providing insights for strategic decision-making.

The Senior Analytics Engineer will design and deploy analytics solutions, collaborate with clients, mentor teams, and contribute to AI-driven initiatives.

The Technical Product Manager will lead technical initiatives, define strategies, collaborate with teams, manage project risks, and ensure successful product delivery.

The Engineering Manager will lead backend, AI, and data platform initiatives, oversee engineering lifecycle, translate business goals into technical requirements, and ensure high-performing system delivery.

Design, implement, and deploy AI automation systems using Python or Node.js. Optimize OCR for document processing and integrate AI solutions into workflows.

As a Data Engineering Intern, you'll collaborate with teams to design and implement cloud-based data solutions, maintain ETL pipelines, and contribute to data quality initiatives, gaining hands-on experience in a fast-paced environment.

As a Data Science Intern, you will analyze data, build predictive models, assist in experimentation, and collaborate with cross-functional teams to drive data insights.