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IA

Founding Data Engineer

Imagine AI
Posted 3 days ago
🇺🇸United States🏠Remote📁Engineering & Development
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We encourage you to read more about how we operate in our handbook . About Imagine AI We automate LinkedIn marketing through executive led content for mid market companies. We are serving over 30 companies from Series A to IPO’d companies, including MongoDB, Rippling, and Corgi Insurance. We started in June 2025 and launched out of Y Combinator’s F25 cohort . Our co-founders are Sky and Neo . Tech stack Nextjs, TailwindCSS, Typescript, Vercel, MongoDB, Supabase, Stripe, Mastra, Git What your day will look like You will be one of our first few hires at Imagine AI, which means you will have a huge responsibility and impact in our business. You will own our agent harness end to end: the orchestration layer that powers our content agents, including workflows, tool calling, memory, and evals, built with Mastra on top of our Nextjs stack. You will join customer calls, talk to them directly , and translate what you learn into agent behavior improvements immediately. You will also live on slack and provide customer support directly to our customers. This means if you are excited about owning the entire lifecycle of an agentic product, you should come work with us! You will see your effort being reflected in our revenue curve directly! Hard requirements 2-5 years of experience You must have hands-on experience building agents with a framework like Mastra (preferred) or a similar agent framework (LangGraph, Vercel AI SDK, OpenAI Agents SDK, etc.) You must be proficient in our web stack (Nextjs, Typescript) You must have built and shipped agentic features from 0 to 1, owning them from design to production Soft requirements You must love talking to customers and translating their feedback to product updates You must be familiar with GitFlow branching strategy You must write clean and maintainable code You must have taste and opinion on what a great agent experience looks like Compensation Read more at the compensation section in our handbook .

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