Global Brain Corporation

Backend Engineer

• Design, develop, and deploy advanced backend solutions that integrate AI to tackle real-world problems, particularly in automating complex, manual processes in government and industrial sectors.
• Interact directly with key customer stakeholders to apply pioneering AI solutions while working alongside experienced ex-founders, government officials/ministers, AI researchers, and engineers.
• Build scalable data pipelines, integrate industrial sensor networks, optimize application performance and reliability, and prepare systems for production.
• Monitor and maintain deployed applications to ensure they continue delivering value across various governments worldwide.

AI Platform Backend Engineer

Product Manager

• Identify repeated engineering patterns and delivery friction across products and customers.
• Determine when a shared system or standard should exist versus when work should remain product-owned.
• Partner with engineering to define clear interfaces, ownership, and readiness expectations for shared systems.
• Ensure shared foundations and components become the easiest and safest path for teams to ship.
• Evaluate adoption and real-world usage of shared systems and use that feedback to guide iteration.
• Keep platform processes lightweight and grounded in real delivery needs.
• Protect product team velocity by avoiding premature standardization or unnecessary coordination.
• Create clarity across teams by making ownership boundaries and expectations explicit.

Product Manager, Platform

Artificial Intelligence

• Assist in designing and deploying LLM-powered applications to automate complex, real-world workflows
• Build and improve data pipelines and support model training, evaluation, and optimization
• Work with structured and unstructured data (e.g., text, documents, logs)
• Help prepare models and systems for production deployment and monitoring
• Collaborate closely with senior engineers, AI researchers, and product teams
• Learn best practices through code reviews, design discussions, and hands-on mentorship
• Gain exposure to customer-facing and real-world constraints, including working with public-sector institutions

AI/ML Internship 2026

• Support the design and development of AI-powered features across front-end, back-end, and data workflows.
• Help prototype and ship internal tools and customer-facing applications using modern web technologies
• Work with product managers and engineers to translate customer problems into clear product requirements.
• Gain exposure to how AI models are integrated into real-world software systems
• Partner with engineers, researchers, and operators to test, iterate, and improve AI-driven workflows.
• Participate in design discussions, sprint planning, and code reviews
• Assist with improving performance, reliability, and usability of deployed applications.
• Help analyze data, evaluate AI outputs, and iterate based on real customer feedback
• Contribute to projects modernizing government workflows, improving healthcare outcomes, or optimizing critical infrastructure.

AI Product Internship

Machine Learning Engineer

• Innovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals.
• Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide.
• Make a Difference: Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. Your work will directly impact how AI benefits individuals, businesses, and society at large.
• Engage with Leaders: interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills.
• Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices.

Early Career AI/ML Engineer

Recruitment

• Full cycle recruiting for GTM/ G&A roles from intake through close
• Partnering with functional leaders/hiring managers to define success profiles and hiring plans
• Driving search strategy for specialized roles across the business
• Managing candidate experience with a high bar for clarity, speed, and conviction
• Running offer strategy and closing in partnership with hiring managers
• Acting as a trusted advisor to leaders on talent tradeoffs, timing, and market realities

Business Recruiter

• Full cycle recruiting across Product and G&A roles from intake through close
• Partnering with functional leaders/hiring managers to define success profiles and hiring plans
• Driving search strategy for specialized roles across the business
• Managing candidate experience with a high bar for clarity, speed, and conviction
• Running offer strategy and closing in partnership with hiring managers
• Acting as a trusted advisor to leaders on talent tradeoffs, timing, and market realities