Interface AI
Applied AI Engineer, Business Automation
San Francisco · Mid · Full-time
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$1,187 more — $221,187 — moves this role to Level IV and 4 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $221,187 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- Work alongside employees and team leaders to map recurring work, bottlenecks, handoffs, and exceptions.
- Establish baselines and prioritize a focused roadmap by time saved, quality improved, business impact, and implementation effort.
- Connect intake, context gathering, execution, approvals, updates to business systems, and follow-through.
Responsibilities
- Deliver workflows such as customer handoffs, account research, reporting, onboarding, and recruiting operations that reach a verifiable outcome.
- As our Applied AI Engineer, Business Automation, you'll build the systems that make every team at interface.ai http://interface.ai more productive.
- Evaluate what to build, buy, or integrate based on quality, reliability, cost, and employee experience.
- 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.
- 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 mission is to make intelligent, personalized financial services accessible to everyone. interface.ai http://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.
- 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.
- The business automation platform. Build and evolve shared integrations, knowledge access, agent orchestration, and employee-facing tools. Make successful automations reusable across teams while supporting each function's distinct processes and requirements.
Requirements
- 3+ years of software engineering experience at SWE II / Senior level, with production systems you built and owned.
- Proficiency in TypeScript and/or Python, with the ability to build the integrations, services, and interfaces employees need to use your work.
- Experience automating real workflows end-to-end across APIs, SaaS tools, and business systems, including exceptions, failures, and human handoffs.
- The ability to learn unfamiliar business domains quickly, ask precise questions, and turn ambiguous needs into useful software.
- You work comfortably with both technical and nontechnical teams.
- Degree in Computer Science or a related field from a top-tier program
- Experience as an early engineer at a startup, taking products from initial discovery through sustained production use.
Nice to have
- Strong applied AI/LLM engineering: experience with tool use, context and retrieval, prompt design, evaluations, and agentic workflows, plus judgment about where AI and conventional automation each add value.
Compensation
- The annual base salary range for this San Francisco role is $220,000-$260,000, plus equity and the benefits below.
- Base salary will reflect the role's level and the candidate's relevant experience, skills, and demonstrated ability to build and own production systems.
- $220,000-$260,000 annual base salary + equity
Benefits
- 🩺 100% paid health, dental & vision care
- 💰 401(k) & financial wellness perks
- 🚇 Commuter benefit
- 💪 Monthly wellness stipend
- 🌴 Discretionary PTO + paid parental leave
- 🧘 Mental health, wellness & family benefits
Company info
- 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.
- Your goal is to make AI a dependable part of daily work in every department, with measurable gains in employee productivity.
- WHAT WE'RE LOOKING FOR - 3+ years of software engineering experience at SWE II / Senior level, with production systems you built and owned.
- This is a dedicated, hands-on engineering role with the company itself as your customer.
- In this role, your work will give colleagues more time for customers, better information for decisions, and dependable systems for getting work done.
- You'll have ownership of the platform, visibility into its impact, and the opportunity to shape how AI becomes part of daily work throughout the company.
Equal opportunity
- equal opportunity employer.
This listing is sourced directly from Interface AI's careers page and normalized into a canonical job model.