The RoleWe'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
• Discretionary PTO + paid parental leave
• Mental health, wellness & family benefits
• A mission-driven team shaping the future of banking
