Senior Full-Stack Engineer – AI-Native

Cardiff

Senior Full-Stack Engineer developing AI-native solutions to enhance funding processes at Cardiff. Owning projects end to end and collaborating closely with various stakeholders to deliver impactful results.

Posted 7/31/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in end-to-end software engineering, including backend and frontend development, cloud deployment, and AI tooling integration. Proficient in leveraging open-source AI solutions and orchestrating complex agent interactions to deliver measurable results.

Highest-signal resume keywords

5+ Years Software Engineering ExperiencePython DevelopmentModern JavaScript/TypeScriptAgent OrchestrationAI Tooling Utilization

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Applicant Tracking System Keywords

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Hard Skills

PythonJavaScriptTypeScriptSQLRESTGraphQLCloud DeploymentAgent OrchestrationPrompt EngineeringProduction System Ownership

Tools & Technologies

SalesforceSnowflakeAWSClaude CodeCursorCodexDevinLangGraphOpen-Source AI Projects

Industry Keywords

FintechLending Data ModelsAI AgentsCommunity ProjectsProduction Features

Tech Stack

Tools & technologies

AWSCloudGraphQLJavaScriptOpen SourcePythonSQLTypeScript

About the role

Key responsibilities & impact

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: where the work isn't core IP, adopting a strong community project (think Buzz, the agent-native workspace Block recently open-sourced) beats owning the support and upgrade burden of a homegrown clone
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

Requirements

What you’ll need

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

Benefits

Comp & perks

Medical, dental, and vision coverage
401(k) plan
Flexible PTO and observed holidays
Remote-first, with support for your home-office setup
Direct access to leadership and to the problems that matter