AI Engineer

### **AI Engineer** #### **Why Now** At **Structured**, we're redefining how developers build and deploy data apps by consolidating the entire analytics stack into code. While AI tools like Copilot have made writing code faster, integrating **AI-powered intelligence into data applications is still complex and inefficient**. Trends like **local-first AI, in-process data querying, and real-time inference** are reshaping how modern apps are built: faster iteration, lower latency, and simpler infrastructure. **Structured** builds on these shifts with a lightweight SDK that lets developers **prototype, deploy, and manage AI-powered data applications (dashboards, internal tools, decision engines) in hours instead of weeks**. If you're excited to **push the boundaries of AI-driven development**, join us. --- ### **Why You** This isn't your average "build what you're told" role. You'll work directly with the **founders and engineering team** to shape how **AI integrates into our product, the company, and the future of this category**. We need someone who's: * **AI-Savvy** – You have experience working with **ML models, embeddings, LLMs, vector databases, and real-time inference**. * **Scrappy & Fast-Moving** – You know how to **prototype quickly, experiment, and iterate**. * **Full-Stack Capable** – You're comfortable working across **ML infrastructure, backend data processing, and APIs**. * **Product-Minded** – You care about the **developer experience**, ensuring AI tools are intuitive, fast, and easy to integrate. * **Ambitious** – You want to own a **key part of an early-stage company** and build something game-changing. --- ### **What You'll Build** As an **AI Engineer**, you'll be at the forefront of **AI-powered analytics and automation**, shaping how developers build intelligent data apps. * **Stack:** Python, TypeScript, Next.js, React, Postgres, AWS/GCP, LangChain, OpenAI APIs, Pinecone, Weaviate * **Embed AI into Structured's SDK** – Build AI-powered features like **semantic search, natural language querying, and auto-generated visualizations**. * **Optimize AI Workflows** – Design **low-latency, cost-efficient inference pipelines** that work across local and cloud environments. * **Build AI-Powered UI Components** – Develop interactive tools that let users **explore, analyze, and manipulate data with AI-driven insights**. * **Fine-Tune & Deploy Models** – Work on **custom embeddings, prompt engineering, and retrieval-augmented generation (RAG) architectures**. * **Scale AI Infrastructure** – Implement **vector search, real-time model inference, and data-driven AI automation**. --- ### **Why Us** * **Team of Experts** – Join a small team of **ex-Meta engineers** who care deeply about **AI, data, and developer tools**. * **Well-Funded** – Backed by **YC, General Catalyst**, and top-tier investors who believe in our vision. * **Ownership & Impact** – As an early team member, you'll have **significant equity** and **shape the AI strategy** from day one.

Build and deploy data apps with AI