About the Role
Senior Full-Stack Engineer (AI-Native)
Cardiff, Inc. Remote (US)
Reports to Managing Partner Works directly with Lead AI Architect
About Cardiff
Cardiff is an AI-first, remote-first alternative lender. We've funded over $10B to small businesses and have been named "America's Favorite Small Business Lender" two years running. ~100 people across 12+ states and Mexico. Stack: Salesforce, Snowflake, Google Workspace, Zoom, Rippling.
We're not bolting AI onto a legacy company. We're rebuilding the company around it: our own API, an AI-native gateway, ML-powered risk decisioning, and agentic SMS/email/voice outreach, all backed by a continuously learning data and intelligence layer.
The Role
We're hiring a Senior Full-Stack Engineer who is genuinely AI-native. Someone who treats Claude Code, Codex, Cursor, and the modern tooling stack as a force multiplier and ships at velocities that weren't possible 18 months ago.
This is not a role for someone who uses AI tools to assist their existing workflow. It's for someone who has rebuilt their workflow around these tools and ships full features in days where traditional teams ship in weeks.
You'll own execution end-to-end on a portfolio of high-leverage projects, working directly with our Lead AI Architect on system design and architecture across Cardiff's AI platform.
What you'll do
Take prototypes to production in days, not weeks
Partner closely with our Lead AI Architect on architecture, system design, and the evolution of Cardiff's AI platform
Build and ship AI agents touching real customers (SMS, email, voice) with measurable business outcomes: lead nurturing, transactions, retention
Integrate across Salesforce, Snowflake, Gmail, Zoom, Slack, and internal services
Own the full lifecycle: backend, frontend, deployment, monitoring, iteration
Work directly with operations, sales, underwriting, and marketing leaders. Translate business needs into shipped product the same week
Iterate relentlessly in production. We'd rather ship a v1 today and refine it Monday than ship a perfect v1 next month
Who you are
You've personally shipped production features using Claude Code, Codex, Cursor, or equivalent as your primary development mode, not a side experiment
You can point to recent work (last 0-6 months) where AI tooling let you ship something a traditional engineer would have taken 3-5x longer to deliver
Strong fundamentals. You know when the AI is wrong, you read what it generates, you understand the systems you're building on
Comfortable across the stack: Python, modern JS/TS, SQL, REST/GraphQL, cloud deployment
Bias toward shipping. A rough v1 in production beats a polished v1 in staging
Direct communicator. When something's blocked, you say so the same day
You don't need a spec to start. A one-line goal and a 15-minute call with a business stakeholder is enough to come back with a working prototype
Bonus
Salesforce APIs, Snowflake, or fintech/lending data models
Built or contributed to MCP servers
Agentic systems experience (tool use, multi-step reasoning, evals)
Shipped solo or as part of a small founding team
What we offer
Competitive base + performance-based comp
Fully remote, US-based
Direct access to leadership and the problems that matter
Real ownership. Your work will be in production in your first week
A team that ships, breaks things, fixes them, and ships again
On pedigree
We care less about the brand on your resume than what you've shipped in the last 90 days. A self-taught engineer with a GitHub full of working AI-native projects beats a 15-year veteran just starting to explore these tools. Show us the work.
How to apply
Email AI-Eng@cardiff.co with:
A 2-3 minute video introducing yourself and walking us through your work
A link to your GitHub
A specific project you've shipped to production, with a link we can see or try
Cardiff is an equal opportunity employer. We hire for talent, velocity, and judgment.
Pay: $101,506.73 - $150,000.00 per year
Benefits:
401(k) 4% Match
Dental insurance
Health insurance
Paid holidays
Paid sick time
Vision insurance
Work Location: Remote