Safety Engineer (AI)

TL;DR

Safety Engineer (AI): Driving the deployment and operationalization of automated moderation and guardrail systems that protect the platform and users across a multimodal space with an accent on building production-grade safety infrastructure from the ground up. Focus on bridging the gap between ML research and production-grade systems, ensuring safety infrastructure is robust, observable, and scalable.

Location: This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw.

Company

hirify.global is a research and product company defining the frontier of audio AI.

What you will do

• Design and build scalable backend infrastructure for content moderation, abuse detection and agents guardrails, deploying AI/ML models into production systems.
• Architect robust APIs, data pipelines, and service architectures supporting real-time and batch moderation workflows.
• Implement comprehensive monitoring, alerting, and observability systems; establish SLIs, SLOs, and performance benchmarks.
• Partner with ML engineers to translate research models into production-ready systems and integrate them across our product suite.
• Drive technical decisions and contribute vision to the safety roadmap on how the next generation of platform guardrails should be built for scale and precision.

Requirements

• 6+ years of backend software engineering experience building production systems at scale.
• Strong production backend experience: distributed systems, APIs, data pipelines, and Python expertise (asynchronous Python, backend frameworks).
• Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelines.
• Observability mindset with experience in monitoring tools (Prometheus, Grafana) and building observable systems.
• Track record of taking products or systems from 0→1 with measurable impact, including deploying or working alongside ML/AI systems in production.

Nice to have

• Trust & Safety, Content Moderation, or Integrity engineering experience.
• MLOps experience: deployment, monitoring, and versioning of ML models.
• Experience with SQL, data analysis tools, real-time streaming systems (Kafka, Redis), or event-driven architectures.
• Familiarity with React or modern frontend frameworks.

Culture & Benefits

• Be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
• Dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
• hirify.global proactively supports professional development through an annual discretionary stipend.
• Annual discretionary stipend to meet up with colleagues each year, however you choose.
• Each year, we bring the entire team together in a new location.
• Monthly co-working stipend if you’re not located near one of our main hubs.