Fullstack Engineer (AI)

TL;DR

Fullstack Engineer (AI): Building and optimizing internal tools for AI model safety, especially in sensitive areas like mental health and vulnerable-user protections, with an accent on turning safety ideas into reliable, scalable systems. Focus on supporting core model policy workflows, such as labeling data, analyzing failure cases, and surfacing insights for iteration.

Location: Onsite in San Francisco, USA. The role is open to US-based candidates and subject to US labor laws.

Salary: $210,000–$325,000

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• Own the end-to-end development of internal tools to improve the safety of hirify.global’s models, with a focus on vulnerable-user protections.
• Partner with Safety Systems researchers, engineers, and policy creators to translate workflows and requirements into product solutions.
• Build full-stack experiences to support core model policy workflows like data labeling, failure analysis, and insight surfacing.
• Optimize internal applications for usability, speed, and scale to increase team velocity and reduce time-to-fix for safety issues.
• Transform successful AI-assisted safety workflows into external-facing safety products to empower developers and uplift industry standards.

Requirements

• Have 5+ years of relevant engineering experience at tech and product-driven companies.
• Proficient with JavaScript, React, and other web technologies.
• Proficient with at least one backend language (Python is used).
• Experience with relational databases like Postgres/MySQL.
• An interest in AI/ML.
• Excited to partner closely with researchers and policy writers to ship tools that directly improve the safety of hirify.global’s models.

Culture & Benefits

• Committed to ensuring that general-purpose artificial intelligence benefits all of humanity.
• Dedicated to pushing the boundaries of AI capabilities while deploying systems safely.
• Committed to providing reasonable accommodations to applicants with disabilities.
• An equal opportunity employer, committed to non-discrimination based on race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other legally protected characteristics.
• Focus on building AI with safety and human needs at its core.