Applied AI Engineer - Hiring Automation (CEO's Office)
Interface AI2 months ago
Base Salary
$220k - $260k/yr
Responsibilities
- Own and accelerate the existing internal AI talent acquisition platform from v1 toward a fully automated recruiting pipeline.
- Build LLM-powered and agentic workflows for sourcing, resume screening, and candidate evaluation.
- Design and ship AI-conducted interviews, conversational flows, scoring rubrics, and trusted evaluation logic.
- Integrate the recruiting pipeline with ATS, scheduling, and communication tools.
- Own architecture, data models, prompt and evaluation design, performance, and reliability.
- Work directly with the CEO’s office and talent team to deliver improvements rapidly.
Requirements
- At least 3 years of software engineering experience with production systems built and owned.
- Strong applied AI and LLM engineering experience, including prompt engineering, evaluations, and agentic architectures.
- Proficiency in TypeScript and/or Python.
- Experience automating real workflows end-to-end through pipelines, integrations, and edge-case handling.
- Degree in Computer Science or a related field from a top-tier program.
- Must be located in San Francisco and committed to working in the office five days per week.
- Experience with recruiting, HR technology, or adopted internal tooling is a bonus.
- Production experience with conversational AI, voice agents, or automated interviewing is a bonus.
- Experience as an early engineer at a successfully shipped startup is a bonus.
Benefits
- 100% paid health, dental, and vision care
- 401(k) and financial wellness perks
- Daily meals
- Commuter benefit
- Monthly wellness stipend
- Claude Enterprise and frontier AI tools for every employee
- Discretionary PTO and paid parental leave
- Mental health, wellness, and family benefits
- Founding-team-tier equity is offered
- On-site work in the San Francisco office five days per week
Tech Stack
Categories
About Interface AI
Interface AI builds generative AI virtual assistants for community banks and credit unions, powering autonomous customer-service interactions across voice, chat, and employee-assisted channels. The company sells an AI platform and pre-trained agents delivered as enterprise software to financial institutions, integrating with voice systems and APIs. Founded in 2019 and headquartered in San Francisco, it is privately held and raised a $30M Series A in 2024.