Senior AI Engineer — Talent Acquisition Automation
interface.ai · San Francisco, CA · 4 wk ago
On-siteEngineering$30/hrFull-time
About the role
We're rebuilding interface.ai as an AI-native company — and that starts with how we hire. Your job is to take over our internal AI-powered talent acquisition tool, accelerate 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.
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
- Based 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
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
Benefits
- 100% paid health, dental & vision care
- 💡 401(k) & financial wellness perks
- 💰 🌴 Discretionary PTO + paid parental leave 🌴 Mental health, wellness & family benefits
- A mission-driven team shaping the future of banking
Compensation Range
$240K