Senior Full-Stack Engineer (AI-Native)

Cardiff

2d•Remote

About The Position

Cardiff is seeking a Senior Full-Stack Engineer with an AI-Native approach to join their remote U.S. team. This role is crucial for accelerating the conversion of leads into funded customers, aiming to reduce the turnaround time from 24 business hours to minutes through automated systems with human oversight. The engineering team is structured around modern tooling and AI-assisted development, enabling engineers to deliver in days what previously took weeks. The work directly impacts the systems driving this transformation. The engineer will own vertical projects end-to-end, developing customer-facing products and internal tools on top of Cardiff's platform. This role involves reporting to the Managing Partner, collaborating with the Lead AI Architect on system design, and working closely with stakeholders across operations, sales, underwriting, marketing, and finance to rapidly turn needs into working products, often within a week. The team is small and senior, with new hires expected to have their work in production within the first week and grow their ownership as their capabilities are demonstrated.

Requirements

5+ years of professional software engineering, with senior-level ownership of production systems
Production features shipped using Claude Code, Cursor, Codex, Devin, or similar as your primary way of building, not occasional experimentation
A recent example (within the last six months) of using AI tooling to deliver something 3–5x faster than you could have without it
Range across the stack: Python, modern JavaScript/TypeScript, SQL, REST/GraphQL, and cloud deployment (AWS preferred)
Depth in agent orchestration (loops, graphs, multi-step tool use, multi-agent patterns; LangGraph or similar), with LLM APIs, RAG and vector databases, prompt engineering, and evals running in production, not just prototypes
Build-vs-adopt judgment: fluent enough in the open-source AI ecosystem to reach for a strong community project rather than hand-rolling what already exists
The engineering fundamentals to recognize when AI output is wrong

Nice To Haves

Salesforce APIs, Snowflake, or fintech/lending data models
Contributions to open-source AI projects
Experience shipping solo or on a small founding team

Responsibilities

Own each project end to end: backend, frontend, deployment, and iteration once it's live
Design and launch AI agents that talk to customers, tied to results you can measure
Work with the Lead AI Architect on architecture and the ongoing evolution of Cardiff's AI platform
Build against our shared integrations: Salesforce, Snowflake, Gmail, Zoom, Slack, and internal tools
Reach for best-in-class open source before building from scratch
Make AI tooling your default way of building, and read what it produces before it ships
Ship a working v1 today and improve it Monday, instead of a "perfect" v1 a month from now