AI Engineer, Trust & Safety Operations

Staff AI Engineer, Trust & Safety Operations

At Hinge, we’re on a mission to inspire intimate connection and create a less lonely world. We’re obsessed with understanding user behaviors to help them find love, with success defined by setting up great dates. With tens of millions of users, we are the most trusted way to find a relationship.

Join Hinge as a Staff AI Engineer for Trust & Safety Operations, where you will lay the cornerstone of our agent‑powered future. You will architect the foundational workflows, guardrails, and tooling that turn AI agents into everyday teammates for Moderation, Appeals, and Support operators. Think of it as building the “operating system” for AI within Trust & Safety: establishing the orchestration layer, standardizing tool schemas, automating the agent lifecycle, instrumenting real‑time monitoring, and ensuring every solution is robust, scalable, efficient, and responsible.

• Own the technical roadmap for AI automation across Moderation, Appeals, and Support workflows, driving discovery and prioritization of high‑impact AI automation opportunities while providing hands‑on technical leadership from concept to production.
• Prototype agentic solutions using the latest platforms and frameworks and integrate them with existing internal and third‑party tools and systems.
• Deliver reliable, scalable, and robust automations with the appropriate evaluations, guardrails, human oversight, and clear performance monitoring.
• Drive adoption by producing documentation, running hands‑on training and enablement sessions for non‑technical operators, and curating prompt libraries and playbooks that empower self‑service iteration.
• Collaborate closely with Data Scientists, Data Engineers, Product Managers, Backend Engineers, and the AI Platform Team to ensure a comprehensive and coordinated approach to improving operational efficiency.
• Embed safety, privacy, auditability, and responsible‑AI standards into every workflow in partnership with Legal and Security teams.
• Mentor and educate ML Engineers and Platform Engineers on new trends and research in AI/ML that can be applied to Trust & Safety initiatives to promote user safety and improve AI‑powered products and workflows.

• Agentic & workflow‑orchestration expertise – Proven ability to design, build, and operate multi‑step LLM agents with modern coordination frameworks.
• Applied AI engineering & prompt craft – Deep Python skills plus hands‑on experience integrating foundation models and crafting robust prompts and utilizing vector databases.
• Rapid prototyping & experimentation – Comfortable shipping quick proofs of concept, running A/B or shadow launches, and iterating based on data.
• Backend, data‑systems & tool integration – Skilled at wiring external services and internal data into agent workflows through well‑designed APIs and schemas.
• Human‑in‑the‑loop system design – Able to blend automation with human oversight through clear escalation paths, review checkpoints, and moderator tooling.
• Operator enablement & training – Talent for translating technical workflows into clear, actionable training for non‑technical teams and supporting their day‑to‑day adoption.
• Working through ambiguity – Proven skill thriving in high‑ambiguity, fast‑moving environments—prioritizing effectively, adapting plans quickly, and delivering impact amid shifting requirements.

• 7+ years of software or machine‑learning engineering experience, with a recent focus on AI‑driven automation or agentic systems.
• 2+ years delivering solutions that combine automated decision support with human‑in‑the‑loop review, ideally in Trust & Safety, customer support, or adjacent domains.
• 2+ years designing and tracking operational metrics that demonstrate ROI, accuracy, and user‑experience improvements for automated workflows.
• 1+ years of hands‑on work prototyping or operating agentic workflows (e.g., MCP, Agentspace, n8n) in real‑world or open‑source projects.
• A degree in computer science, engineering, or a related field (or equivalent practical experience).

$ – $ per year (based in New York City). Geographic adjustment may apply.

• 401(k) Matching: 100% match of the first 10% of pre‑tax 401(k) contributions, up to $10,000 per year.
• Learning & Development stipend: $3,000 annual stipend once you’ve been with us for three months; free access to Udemy.
• Parental Leave: 100% paid parental leave (20 paid weeks for both birth and non‑birth parents).
• Fertility Support:
  Up to $10,000 to assist with fertility expenses, including basic treatments and fertility preservation.
• Date Stipend: $100 monthly stipend for epic dates;
  Hinge
  
  X is free for employees and their loved ones.
• ERGs:
  Asian, Unapologetic, Disability, LGBTQIA+, Vibras, Women/Nonbinary, Parents, Remote.