• Build custom AI agents that solve real business problems • Implement Model Context Protocol (MCP) integrations • Connect LLMs to enterprise knowledge bases using vector search and RAG • Create intelligent applications that surface insights clients didn't know to ask for • Develop web apps using Node.js, Python, and TypeScript • Create intuitive chat interfaces and responsive experiences • Ensure secure data pipelines for real-time AI interactions • Manage Linux-based systems in the wild • Build cloud-native architectures on Azure • Document patterns so others can learn from your work • Research and prototype emerging AI tools before they're cool

• Develop and integrate computer vision solutions for a variety of real-world scenarios • Propose and test new detection and segmentation algorithms • Automate model training, validation, and inference pipelines • Create and annotate training datasets, proactively requesting images from clients and internal teams and sourcing public datasets • Read and apply insights from state-of-the-art research papers • Use large language models (LLMs) to assist with dataset generation and result validation • Ensure code quality through best practices, testing, and peer code reviews • Contribute to continuous improvements in development and experimentation processes.

• Developing new features for ResearchHub's web application • Taking ownership of engineering decisions that align with product roadmap • Contributing to the cryptoeconomic structure of RSC rewards • Post-product-market fit, hiring an excellent engineering team and setting the foundation of a great engineering culture • Creating scalable organizational processes to ensure we ship high-quality code as the team grows

• Drive new features delivery end-to-end through implementation, launch, and continuous iteration • Write and maintain a full unit test suite • Help manage deployments and setup CI/CD pipelines • Collaborate in an agile environment to understand business requirements and translate those needs to actionable development code using best practices • Write performant, scalable and testable code with the help of modern tools • Participate in code reviews that uphold the principle of clean code and architecture • Participate in active engineering design sessions with evidence and experience-based contributions • Balance speed and quality, with a focus on tangible results • Participate in interview process to raise the technical bar and to bring new talent