Senior AI Engineer — Talent Acquisition Automation

interface.ai•San Francisco, CA

15d•$240,000 - $240,000•Onsite

About The Position

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. 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.

Requirements

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

Nice To Haves

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

Responsibilities

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