Senior AI Product Engineer

Job not on LinkedIn

🔥 3 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

infoinfo
Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Cardiff

Cardiff

51 - 200 employees

Founded 2004

💸 Finance

💳 Fintech

🤝 B2B

Finance • Fintech • B2B

Cardiff is a business finance provider that offers a range of lending products for small and medium-sized businesses. Cardiff provides business credit cards, business loans, equipment financing (including ability to finance both titled and non-titled transactions), lines of credit, merchant cash advances, and SBA loans, and targets industry verticals such as auto repair, construction/contracting, dental practices, excavation, landscaping, masonry, plumbing, restaurants, and trucking. The company positions itself as a partner for businesses needing payroll, new equipment, or other working capital needs.

📋 Description

• Review each prototype and document whether it should move forward, be revised, or be discontinued • Build data models, APIs, integrations, error handling, tests, and deployment processes for reliable production software • Establish automated testing, secret scanning, and code and dependency checks aligned with the production approval process • Connect Cardiff’s systems with external lenders and vendors and standardize inconsistent data • Monitor, maintain, and improve deployed systems • Resolve incidents and document corrective actions • Provide written updates, flag blockers, and coordinate scope and acceptance with business owners • Turn AI-built prototypes into reliable software used by Cardiff’s teams • Support lender routing, sales calculators, decisioning workflows, and automation agents • Deliver measurable improvements in processing efficiency and time to funding

🎯 Requirements

• Seven or more years of software development experience, with recent hands-on ownership of systems delivered to real users • Strong production engineering judgment across testing, security, reliability, monitoring, and incident response • Proficiency in Python, JavaScript/TypeScript, SQL, REST APIs, and cloud deployment, preferably AWS • Experience integrating external systems and translating inconsistent inputs into clean, usable data models • AI development as a core working practice, including coding tools, LLM APIs, agents, and evaluations, with careful review of generated code • Ability to assess existing code, determine what to retain or rebuild, and deliver practical solutions quickly • Comfort working directly with the Managing Partner and nontechnical stakeholders, with clear communication and accountability

Apply Now

Similar Jobs

🔥 52 minutes ago

Paramount

10,000+ employees

💼 Consulting

📣 Marketing

📱 Media

Senior engineer automating end-to-end QA for Paramount’s live-streaming platforms. Improving reliability, monitoring, and video delivery for Paramount+ and other entertainment services.

🔥 1 hour ago

Infisical

11 - 50

🔒 Cybersecurity

☁️ SaaS

🏢 Enterprise

Senior Full Stack Engineer expanding Infisical’s open source security infrastructure platform. Building secrets management, PKI, PAM, and KMS products with the engineering team.

🔥 1 hour ago

Infisical

11 - 50

🔒 Cybersecurity

☁️ SaaS

🏢 Enterprise

Full Stack Engineer expanding Infisical’s open source security platform for secrets management, PKI, PAM, and KMS. Building secure developer infrastructure and AI-enabled security capabilities.

🔥 2 hours ago

Ford Motor Company

10,000+ employees

📦 Logistics

💼 Consulting

📣 Marketing

Senior iOS engineer developing Ford’s customer-facing mobile app for millions of drivers. Building and shipping Swift-based software from conception through production.

🔥 2 hours ago

NVIDIA

10,000+ employees

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

NVIDIA system software engineer building Rust and Python GPU-accelerated Agentic Retrieval pipelines. Developing multimodal data systems, LLM tooling, and generative AI productivity products.