LlamaIndex

Software Engineer

• Get out into the world. Represent LlamaParse at conferences, meetups, hackathons, and workshops by speaking, demoing live, and meeting developers and teams face to face. This is the core of the job.
• Evangelize the product through real experiences. Walk through actual document-parsing problems, show LlamaParse handling messy real-world files, and tell the stories of how teams use it in production.
• Be highly active and visible on social media, including X, LinkedIn, and YouTube. Post demos, before-and-after parsing examples, launch content, and threads that show developers what LlamaParse does.
• Create technical content across formats, including video walkthroughs, livestreams, blog posts, and conference talks, all centered on LlamaParse and the document-ingestion problem.
• Build sharp, convincing demos and example apps that prove the product on hard, realistic documents.
• Partner with product and engineering on LlamaParse launches so every release lands with content and demos that drive adoption.
• Stay close enough to the developer community to answer questions and bring feedback back to the team. This is a steady part of the role, though the focus of the job is being out evangelizing.

Developer Evangelist

Full-stack Engineer

• Design, develop, and ship customer-facing features for an AI-powered knowledge SaaS platform—from prototype to production.
• Build responsive, component-based UIs using JavaScript/TypeScript and a modern React-based framework (e.g., Next.js, shadcn).
• Integrate large-language-model workflows—prompt engineering, retrieval-augmented generation (RAG), and multi-step AI agents—into the front-end experience.
• Implement supporting APIs or micro-services in Python or Node.js; containerize with Docker and deploy via a cloud-native orchestration platform (Terraform, Google Cloud Run, or Kubernetes).
• Collaborate with product and design teams, gather iterative user feedback, write design docs, conduct code reviews, and mentor junior engineers.