Applied AI Engineer, Workflow Automation (SF On‑Site)

Interface; San Francisco (CA); Hybride; USD 220 000 - 260 000; Plein temps

Avantages offerts par ce poste

Health insurance

401(k) plan

Daily meals provided

Commuter benefit

Wellness stipend

Claude Enterprise + frontier AI tools

Résumé du poste

Interface is seeking an Applied AI Engineer, Business Automation in San Francisco. You will own a company-wide automation platform, build AI-powered workflows, and collaborate with engineering, product, and business teams to deliver measurable productivity gains.

You will work five days a week in the office, using TypeScript and Python to create scalable integrations and reusable capabilities, driving adoption across departments and improving process efficiency.

Qualifications

• 3+ years of software engineering experience at SWE II / Senior level with owned production systems.
• Strong applied AI/LLM engineering, tool use, prompts, and evaluations.
• Proficiency in TypeScript and/or Python for building integrations and interfaces.
• Experience automating real workflows end-to-end across APIs and SaaS tools.

Responsabilités

• Own the business automation platform and integrations across teams.
• Discover workflows, map bottlenecks, and prioritize high-impact automations.
• Build, deploy, and maintain AI-powered workflows with reliable tooling.
• Collaborate with product, engineering, and business functions to improve adoption.

Connaissances

SWE II / Senior

Self-directed

Frontend/backend integration

Formation

Degree in Computer Science or related field

Outils

TypeScript

Python

Description du poste

Interface is seeking an Applied AI Engineer, Business Automation in San Francisco. You will own a company-wide automation platform, build AI-powered workflows, and collaborate with engineering, product, and business teams to deliver measurable productivity gains.

You will work five days a week in the office, using TypeScript and Python to create scalable integrations and reusable capabilities, driving adoption across departments and improving process efficiency.