Interface AI Logo

Interface AI

Applied AI Engineer - Hiring Automation (CEO's Office)

Posted 12 Hours Ago
Remote
Hiring Remotely in USA
220K-260K Annually
Mid level
Remote
Hiring Remotely in USA
220K-260K Annually
Mid level
Build and own an internal AI-powered recruiting pipeline: end-to-end LLM-based sourcing, screening, AI interviews, evaluation logic, and deep integrations with ATS and scheduling to automate hiring workflows.
The summary above was generated by AI

About interface.ai

interface.ai is the agentic AI platform for financial services — bringing conversational and agentic AI to the credit unions and community banks that serve everyday Americans. We're not a lab, we're not a demo company, and we're not burning runway on hypotheticals. We are in production, generating real revenue, and on a mission that matters: making intelligent financial services available to the millions of people who've never had a private banker. More than 100 banks and credit unions run on interface.ai, reaching over 10 million people. Many products are live today; the biggest bets — an AI-first contact center and an AI-native consumer banking experience — are what comes next. Backed by $30M in Series A funding and already cash-flow positive, we're at the inflection point: a proven product, paying customers, and a profitable business rebuilding itself as an AI-native company to lead a world where agents, not software, do the work.

 

The Role

We're rebuilding interface.ai as an AI-native company — and that starts with how we hire. We've already built an internal AI-powered talent acquisition tool. Your job is to take it over, expedite it, and turn it into a fully automated recruiting pipeline: AI-driven sourcing, automated screening, AI interviews, and candidate evaluation at scale.

This is a rare kind of role: applied AI engineering with a single, high-leverage internal customer — the company itself. You'll own the system end-to-end, work directly with our CEO Srinivas Njay and the talent team, and see the impact of what you ship in days, not quarters. Recruiting is one of the highest-volume, most repetitive workflows in any fast-growing company — and one of the best proving grounds for agentic AI.

 

Areas You Could Work On

  • Own and accelerate our internal AI talent acquisition platform — an existing, working tool that needs a dedicated engineer to take it from v1 to fully automated

  • Build automated pipelines for sourcing, resume screening, and candidate evaluation using LLMs and agentic workflows

  • Design and ship AI-conducted interviews and structured screening — conversational flows, scoring rubrics, and evaluation logic that recruiters and hiring managers trust

  • Integrate deeply with our recruiting stack (ATS, scheduling, communication tools) so the pipeline runs with minimal human touch

  • Own technical decisions end-to-end: architecture, data models, prompt and eval design, performance, and reliability

  • Work side-by-side with the CEO's office and talent team — in the office, in real time, every day

 

What We're Looking For

  • 3+ years of software engineering experience (SWE II / Senior level) with production systems you built and owned, not just contributed to

  • Strong applied AI/LLM engineering: you've built on top of LLMs, understand prompt engineering, evals, and agentic architectures — and know where AI adds value and where it doesn't

  • Proficiency in TypeScript and/or Python

  • Experience automating real workflows end-to-end — you think in pipelines, integrations, and edge cases, not demos

  • Degree in Computer Science or related field from a top-tier program (we take fundamentals seriously)

  • Self-directed and decisive: you identify problems before they're assigned, propose solutions before they're requested, and close loops without reminders

  • In SF, committed to 5 days/week — the collaboration is real and intentional

 

Bonus Points

  • Experience building recruiting, HR tech, or other internal tooling that people actually adopted

  • Production experience with conversational AI, voice agents, or automated interviewing

  • Experience being an early engineer at a startup that shipped successfully

 

Benefits

🩺 100% paid health, dental & vision care

💰 401(k) & financial wellness perks

🍜 Daily meals on us

🚇 Commuter benefit

💪 Monthly wellness stipend

🤖 Claude Enterprise + frontier AI tools for every employee — build with the best

🏙️ Brand-new 21st-floor SF office at 44 Montgomery — floor-to-ceiling views, worth showing up to

🌴 Discretionary PTO + paid parental leave

🧘 Mental health, wellness & family benefits

🚀 A mission-driven team shaping the future of banking

 

Why interface.ai

Series A · $30M raised · Cash-flow positive — we're not burning cash hoping the product works. It works. Customers are live, revenue is real, and the mission is one you can explain to your family without a slide deck.

You'll work directly with Bruce Kim (CTO / Co-Founder), who sets the technical bar and goes deep on the hardest problems, and Srinivas Njay (CEO), who is hands-on daily across product and engineering. Founding-team-tier equity, top-of-market base, comprehensive benefits, and a modern San Francisco office worth showing up to. The team is small enough that your judgment shapes everything, and the market is large enough that what you build will matter for a long time.

 

interface.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees

Similar Jobs

5 Minutes Ago
Remote
USA
180K-270K Annually
Senior level
180K-270K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Customer-facing technical expert supporting sales and capture for Hivemind autonomy: translating mission needs into solution concepts, running demos and briefings, supporting RFIs/RFPs, developing technical assets, and feeding product and engineering with field requirements and feedback.
Top Skills: APIsAutonomy SoftwareC++HivemindLinuxPythonRobotics MiddlewareSdks
5 Minutes Ago
Remote or Hybrid
133K-226K Annually
Senior level
133K-226K Annually
Senior level
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Lead and champion Model Based Systems Engineering (MBSE) adoption across programs: develop models and modeling strategies (SysML/UML/UAF), use MagicDraw/Cameo, provide technical guidance, build training and best practices, and support the transition to digital/cloud-based engineering environments.
Top Skills: Magicdraw/CameoMbseSysmlUafUml
5 Minutes Ago
Remote or Hybrid
173K-294K Annually
Expert/Leader
173K-294K Annually
Expert/Leader
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Lead and grow BAE's Navy Electronic Combat Solutions portfolio by developing strategy, managing multi-functional capture teams, cultivating customer and partner relationships, driving classified Navy engagements, ensuring compliance with government contracting and DFARS, and attracting and mentoring high-performing talent to win and execute complex defense programs.
Top Skills: SAP

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account