> Markdown version of [/jobs/ext/4639219-senior-full-stack-engineer](https://www.wearedevelopers.com/jobs/ext/4639219-senior-full-stack-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Full Stack Engineer - **Company:** Ai-Companies LLC - **Location:** Miami, FL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Code Generation, Databases, Continuous Integration, Cursor, PostgreSQL, Node.Js, Microsoft Copilot, Next.js, TypeScript, Network Routers, ReactJS, Large Language Models, Claude Code, AI Coding Agents, Backend, Agentic-AI, Front End Software Development, NestJS - **Published:** November 8, 2026 - **Apply:** https://www.juju.com/job/28_25303_ea88e974550624149444cf7b64a0048c ## About the Role * 5+ years building production software, with full-stack shipping experience at an AI-native, infrastructure, devtools, security, or B2B SaaS company. * Fluency with AI development tools (Claude Code, Cursor, Copilot, or similar) as part of your daily workflow, and a clear point of view on where they help and where they don't. * The engineering depth to review AI-generated code and catch what is wrong: bugs, security issues, weak data models, subtle logic errors. You trust your own judgment over the model's. * Deep TypeScript expertise across the stack: React/Next.js on the frontend, Node (NestJS or similar) on the backend. * Strong data-modeling instincts. You design schemas that scale and reason carefully about Postgres, queries, and migrations. * Shipped product customers paid for and relied on. You can talk specifically about what you built, the tradeoffs you made, and the things that didn't work., * Experience building with LLMs and AI agents in production: tool use, orchestration, evals, retrieval. * Background in compliance, security, audit tooling, or other regulated domains (fintech, healthcare, public sector). * Time at an early-stage startup or as a founder, where scope was wide and you owned things end to end. * Experience building for technical buyers (security teams, engineering leaders, CTOs). * Comfort with infrastructure: CI/CD, observability, background job systems, and cloud (AWS/GCP). ## Description We're hiring a Senior Fullstack Engineer to build and own major parts of the platform, from the database to the API to the UI the customer touches. You'll ship features end to end: design the data model, build the API, wire up the frontend, and get it in front of customers in days rather than quarters. You'll make architectural calls, work directly with founders and product, and stay close enough to customers to know whether what you shipped worked. Compliance is where we started because the pain is most acute today. The role is bigger than that. You'll help build what continuous AI-driven cybersecurity looks like. This is an AI-native engineering role in a real sense. We build with AI tooling every day. You'll use Claude Code and similar tools as a core part of how you work: generating, refactoring, and reviewing code with AI in the loop. The point is leverage. You move faster because the AI handles the mechanical work, and you stay in control because you have the experience to catch when it is wrong. A lot of what you build will also be the agentic systems inside the product itself: evidence collection, policy drafting, control mapping, and continuous monitoring. You'll be building agents and using agents to build. How We Use AI (Central to the Role) We expect you to be fluent with modern AI development. Day to day that means: * Using AI coding tools like Claude Code as a primary part of your workflow, not an occasional assist. * Knowing how to prompt, scope, and steer these tools toward production-quality output, and how to break work down so they are effective. * Reading every line the AI produces and catching the mistakes. AI is fast and confident, and it is regularly wrong about edge cases, security, data modeling, and intent. Your job is to know the difference. * Holding the quality bar. The AI accelerates you. It does not replace your judgment, your architecture sense, or your responsibility for what ships. We want strong engineers who use AI to go faster, not people who lean on it to do the thinking. The combination of deep engineering judgment and AI fluency is the profile we are hiring for. The Stack TypeScript end to end. Next.js (App Router) and React on the frontend, NestJS on the backend, Postgres with Prisma, a Turborepo monorepo on Bun, and Trigger.dev for background and agent workloads. We use AI tooling, including Claude Code, throughout the development workflow.