Senior Full Stack Engineer

Comp AI; Florida; On-site; USD 170,000 - 230,000; Full time

Benefits offered by this job

Competitive base and equity

Unlimited PTO

Quarterly team offsites

Relocation support

Job summary

Comp AI in Miami hires a Senior Fullstack Engineer to own major platform features from database to UI. You will ship end-to-end, make architectural decisions, and stay customer-focused while leveraging AI tooling to accelerate delivery.

You will work with Claude Code and related tools daily, review AI-generated code, and help design scalable data models and APIs. This is an on-site, hands-on role with a modern stack and equity-based compensation.

Qualifications

• 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 daily workflow.
• Ability to review AI-generated code and catch issues: bugs, security, data modeling, edge cases.

Responsibilities

• Own major features end to end: data model, API, frontend, and infra.
• Build with AI while maintaining quality: review AI-generated code for production readiness.
• Ship to customers quickly and iterate based on real usage.
• Collaborate with product, design, and founders from shaping through launch.

Skills

AI development tools

Full-stack engineering

TypeScript expertise

React/Next.js

Node/NestJS

PostgreSQL data modeling

Tools

Claude Code

Copilot

Cursor

AI tooling

Job description

About the Role

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.

What You’ll Do

Build and own

• Own major features and surfaces end to end: data model, API, frontend, and the infrastructure they run on.
• Make architectural calls and explain them clearly. Design systems that hold up as we scale.
• Set the engineering patterns the rest of the team builds on.

Build with AI, and keep it honest

• Use Claude Code and similar tools as a core part of how you ship.
• Review AI-generated code carefully and catch the errors before they reach production.
• Improve how the whole team works with AI: prompts, patterns, guardrails, and what to automate.

Ship fast

• Ship to customers in days and weeks, then iterate on what they actually do.
• Build the AI agents inside the product: evidence collection, policy drafting, control mapping, continuous monitoring.
• Hold a high bar on quality: strong types, tests, and performance.

Stay close and partner

• Talk to customers. You’ll see the pain firsthand and ship against it.
• Partner with product, design, and founders from shaping through launch.
• Review PRs, mentor, and raise the bar around you.

You May Be a Good Fit If You Have

• 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.

Strong Candidates May Also Have

• 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).

How We Work

• You think like an owner. The code is yours and the outcomes are yours.
• You use AI to move faster and you stay responsible for what ships.
• You’d rather ship something imperfect this week and iterate than polish for a quarter.
• You hold strong opinions and update them when the evidence changes.

What This Role Is Not

• Not narrowly scoped. You’ll own whole surfaces, frontend to backend to infra, not a backlog of tickets for one corner of the app.
• Not frontend-only or backend-only. This is genuinely full-stack.
• Not a research role. We ship to customers in weeks.
• Not hands-off. You’ll design the system, write the code, and review the PR in the same week.
• Not a place to vibe-code. AI does a lot of the typing, but you own the result and you are expected to catch its mistakes.

Why Comp AI

• Real ownership. What you ship affects the company’s numbers, not a sub-team’s OKRs.
• Direct access to founders. Decisions happen in conversation.
• AI-native from day zero, in the product and in how we build it.
• A modern stack kept clean, with no legacy debt to fight.
• A category in motion. Compliance is becoming continuous cybersecurity, and you’ll help build it.

Compensation and Logistics

• Base + equity: $170K - $230K base, plus meaningful equity.
• Location: This is an on-site role at our Miami HQ, five days a week. We help with relocation if you want to move.
• Visa sponsorship: We don’t sponsor visas at this time.

Perks

• Competitive base and meaningful equity.
• Unlimited PTO on top of US federal holidays. Give ample notice and take what you need.
• Quarterly team offsites.
• A strong team to learn from.