Applied AI Engineer
US$220,000 – US$260,000 / yr base salary
Posted 29 Jul 2026
Advertised as “Applied AI Engineer, Business Automation”
BranchFactor Summary
The original posting with the fluff stripped out
- Level
- SWE II
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Full-time
| Base salary | US$220,000 – US$260,000 / yr |
|---|
Field of studyComputer Science (or related)
Study levelBachelor's
Location: San Francisco · On-site, five days a week
Department: Engineering
Employment type: Full time
Level: SWE II / Senior · Individual contributor
Compensation: $220,000–$260,000 annual base salary + equity
About interface.ai
Our mission is to make intelligent, personalized financial services accessible to everyone. interface.ai builds AI agents for the banks and credit unions that serve everyday Americans, helping financial institutions deliver better service and making it easier for people to get the support they need.
More than 100 banks and credit unions use interface.ai, reaching over 10 million people. With $30M in Series A funding and a cash-flow-positive business, we're building toward an AI-powered contact center and a banking experience designed around intelligent agents. Our ambition is to help millions of people navigate their financial lives with greater confidence.
We're bringing that same ambition to how our company works: equipping every team with AI that helps people accomplish more, focus on meaningful work, and serve our customers better.
The Role
As our Applied AI Engineer, Business Automation, you'll build the systems that make every team at interface.ai more productive. Work across engineering, product, sales, marketing, customer success, finance, operations, and talent to understand how work gets done, identify the highest-impact opportunities, and turn recurring business processes into reliable AI-powered workflows.
You'll own our in-house business automation platform: the shared foundation that connects the best available AI tools, agents, company knowledge, and business systems to take work from request to completed outcome. Build on existing internal tools and develop reusable capabilities that each team can adapt to its own work. Evaluate what to build, buy, or integrate based on quality, reliability, cost, and employee experience.
This is a dedicated, hands-on engineering role with the company itself as your customer. You'll work directly with CEO Srinivas Njay, partner with CTO and Co-Founder Bruce Kim, and embed with teams to learn their domain-specific rules, exceptions, and decisions. Own the full journey from discovering a workflow to shipping it, helping employees adopt it, and improving it in production. Your goal is to make AI a dependable part of daily work in every department, with measurable gains in employee productivity.