Welcome to shop.testchamberhub.com We provide job seekers with information gathered from various publicly available job posting websites, including but not limited to Google, Indeed, LinkedIn, and other well-known job platforms. Our mission is to help individuals find employment opportunities by offering up-to-date job listings and career-related resources. We do not charge any fees for accessing or using our website, and all job information is provided free of charge.
shop.testchamberhub.com does not directly offer, manage, or engage in the hiring process for any of the job listings featured on our website. All listings are sourced from third-party job posting platforms such as Indeed, LinkedIn, and other recognized job websites.
By using our website, you acknowledge and accept the above terms and conditions. Thank you for visiting shop.testchamberhub.com, and we wish you success in your job search.
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)
,
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
What the job involves
Join Hinge as a Staff AI Engineer for Trust & Safety Operations, where you’ll 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 our 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
,
You’ll collaborate closely with operations professionals and engineers, meet non-technical stakeholders where they are, and deliver value in tight, incremental loops tied directly to solving their biggest problems
,
Because we’re still early in our agent journey, you’ll enjoy a broad scope with an expectation of mentoring peers, shaping best practices, and defining the north star for AI-native operations at Hinge
,
If you’re energized by building green-field systems that leverage AI to solve challenging problems, this is your invitation to help write the next chapter of Trust & Safety to create a safer and more meaningful user experience on their journey to find an intimate connection
,
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
