Build and deploy data apps with AI

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.

Want to build AI-powered tools that transform how developers work with data? Let’s talk.