The AI Engineer will design and deploy AI workflows using LLMs to enhance decision-making in manufacturing and logistics, ensuring reliable outputs and system integration with external tools.

Design and build scalable data infrastructure and pipelines for multiple ventures, implement ETL processes, and enhance data workflows with GenAI capabilities.

The Senior Fullstack Engineer will design, build, and maintain scalable web applications, optimize performance, and manage cloud infrastructure while collaborating with teams to deliver innovative digital products for startups.

Manage end-to-end execution of high-touch events, including logistics, vendor management, and guest communication, for executive audiences at UP.Labs.

As a Senior Data Scientist, you will design and optimize machine learning models, analyze complex datasets, and deploy solutions in production environments while collaborating with engineering teams.

The Robotics & Automation Engineering Consultant will advise on automation feasibility, design manufacturing robotics solutions, and evaluate integration complexities. Key responsibilities include guiding robot selection and assessing cost vs. ROI for automation in manufacturing workflows.

The Chief Commercial Officer will lead commercial partnerships, drive revenue growth, design sales systems, and mentor sales teams while engaging Fortune 500 companies.

As a Senior Technical Product Manager, you will shape product vision, define measurable customer impact, and identify high ROI opportunities while leading cross-functional initiatives within B2B SaaS environments.

The role involves designing, deploying, and maintaining LLM platforms, developing AI systems, managing pipelines, and providing deployment guidance.

Design and deploy machine learning models and data solutions, collaborating with teams to solve business problems across a venture portfolio.

As a Tech Lead Engineer, you will manage and mentor a small team, design scalable applications, oversee code quality, and collaborate on project roadmaps.

Lead engineering teams to create and deliver innovative software solutions, focusing on AI integration and technical feasibility, while mentoring staff and building startups.

The AI Applications Product Manager defines product vision and roadmap for AI-native applications, including user experience design and technical requirements, while ensuring successful submissions in AI marketplaces.

The Machine Learning Engineer will develop and deploy ML solutions, focusing on computer vision and backend systems, collaborate with teams, and ensure reliable production-grade systems.

As Head of Product, you will define the product vision and execute strategy for an AI-driven logistics billing platform, focusing on customer discovery, AI integration, and team leadership.