Developer Advocate, AI Low-Code Platform

At Embedded LLM, we're revolutionizing how businesses leverage the power of Large Language Models (LLMs). Our mission is to advance and democratize AI, making the transformative capabilities of LLMs accessible to enterprises of all sizes. We believe in the power of open-source, community-driven development, combined with rigorous quality assurance and dedicated customer support. We are a leading provider of solutions for deploying and optimizing open-source LLMs in enterprise environments. As a Developer Advocate for JamAI Base, our collaborative AI-powered spreadsheet, you will be at the heart of our mission to empower developers and citizen developers alike to build sophisticated AI applications. You'll champion JamAI Base, showcasing how it simplifies the creation, experimentation, and deployment of AI pipelines using the intuitive spreadsheet paradigm. You will play a crucial role in fostering a vibrant community around JamAI Base, working closely with both our internal teams and the broader AI/ML community. This is a high-intensity, high-travel role, demanding a significant commitment to engaging with the global AI community. You'll be constantly on the move, representing Embedded LLM at events worldwide, and working tirelessly to build relationships and promote JamAI Base. Furthermore, you'll be responsible for developing and delivering educational workshops, leveraging your skills to teach diverse audiences how to use JamAI Base effectively. If you thrive in a fast-paced, demanding environment and are passionate about making AI accessible to all through education and advocacy, this is the role for you. In this role, you'll become a subject matter expert on low-code/no-code AI development, particularly within the context of JamAI Base. You'll understand the needs of developers working with LLMs, and you'll use that knowledge to advocate for features and improvements that make JamAI Base an indispensable tool for AI development. You'll be a key voice in demonstrating how JamAI Base, combined with Embedded LLM's expertise in deploying open-source LLMs, provides a powerful and accessible path to AI innovation. You will create engaging content, including code samples, demos, articles, and tutorials that illustrate the power and versatility of JamAI Base for building AI applications. You'll represent Embedded LLM at industry events, conferences, and online forums, showcasing how JamAI Base and our LLM solutions empower businesses. You'll work closely with our engineering teams to ensure that JamAI Base evolves to meet the needs of the developer community. Responsibilities: Become a leading voice and advocate for JamAI Base, promoting its adoption and highlighting its unique capabilities for AI development. Evangelize the use of JamAI Base for building, experimenting with, and evaluating LLMs, emphasizing its ease of use, collaborative features, and seamless integration with Embedded LLM's deployment solutions. Create compelling code samples, demos, prototypes, articles, and tutorials that demonstrate how to leverage JamAI Base's features to build AI pipelines, integrate various LLMs, and evaluate model performance. Develop and deliver engaging presentations, workshops, and webinars that showcase the value proposition of JamAI Base for both experienced developers and citizen developers. This includes: - Designing workshop curricula and materials tailored to different skill levels, similar to how an adult literacy teacher adapts their teaching to diverse learners. - Employing effective teaching methodologies to ensure knowledge transfer and skill development among workshop participants. - Creating a supportive and inclusive learning environment that encourages participation and fosters a sense of community. - Assessing participant understanding and adapting your teaching approach as needed to maximize learning outcomes. Collaborate with internal product and engineering teams to align JamAI Base's development with the needs of the open-source and developer community. Engage with the AI/ML community to gather feedback, identify trends, and contribute to open-source projects that enhance JamAI Base and the broader LLM ecosystem. Establish and maintain relationships with key influencers, developers, and organizations in the AI, low-code/no-code, and open-source LLM communities. Grow, manage, and maintain a well-received public profile, becoming a trusted resource for AI development with JamAI Base and Embedded LLM's solutions. Extensive global/local travel (up to 75%) is required to represent Embedded LLM and promote JamAI Base at industry events, conferences, online communities, and media interactions. Demonstrate a strong work ethic and commitment to putting in the hours necessary to achieve ambitious goals in a fast-paced startup environment.