[Pipeline] Software Engineer, Safeguards Labs (AI)

TL;DR

[Pipeline] Software Engineer, Safeguards Labs (AI): Turning research prototypes into production-grade safeguards for Claude with an accent on reliability, scalability, and safety infrastructure. Focus on hardening backend services, building evaluation pipelines for agentic settings, and optimizing the real-time safeguards path.

Location: Hybrid (New York City, NY). Staff are expected to be in the office at least 25% of the time.

Salary: $405,000 - $485,000 USD

Company

hirify.global is a public benefit corporation dedicated to creating reliable, interpretable, and steerable AI systems.

What you will do

• Harden research prototypes into production services that integrate with the real-time safeguards path.
• Build data and evaluation infrastructure to iterate on prototypes and measure safeguard effectiveness, including in agentic settings.
• Own the deployment, monitoring, and reliability for all systems shipped by the Labs team.
• Develop internal tooling to help investigators surface and act on abuse patterns.
• Collaborate with research engineers to scope and decide when prototypes are ready for production graduation.

Requirements

• Strong proficiency in Python and experience working with large datasets.
• Proven track record of designing, building, and operating production backend systems or data pipelines.
• Experience taking software from prototype to production, including testing, monitoring, and reliability work.
• Working familiarity with the operation of large language models (LLMs).
• Must be based in or able to work from the New York City office.
• Bachelor’s degree or equivalent combination of education and experience.

Nice to have

• 5+ years of software engineering experience.
• Experience deploying ML systems or classifiers into production.
• Background in trust and safety, integrity, fraud detection, threat intelligence, or adversarial ML.
• Experience building developer-facing tooling or platforms that accelerate research workflows.
• Familiarity with LLM evaluation methodologies and agentic environments.

Culture & Benefits

• Collaborative "big science" environment focusing on high-impact research and long-term safety goals.
• Competitive compensation with optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours and a collaborative office space.
• Visa sponsorship is available for eligible candidates.