TrustLab

Backend Engineer

• Drive the development of end-to-end product features, working across both frontend and backend systems.
• Build clean, scalable backend services using Python (e.g., Django, FastAPI, or Flask).
• Develop rich, performant frontend applications using React, TypeScript, and modern tooling.
• Design and implement intuitive interfaces and workflows that empower analysts and reviewers working on online safety.
• Collaborate closely with product, design, data, and ML teams to ship impactful features quickly and iteratively.
• Own projects from start to finish, ensuring reliability, usability, and performance at every layer of the stack.
• Drive best practices in architecture, code quality, and testing across both frontend and backend systems.

Senior Full Stack Engineer, Python, React

AI Engineer

• TrustLab deploys custom LLMs as part of its AI solution for Enterprise customers. We’re a fast-moving, venture-backed startup founded by senior leaders from Google, YouTube, TikTok, and Reddit, creating solutions for online safety, reputation and risk management.
• At TrustLab, your work won’t live in theory - it will power live systems used at large scale. You’ll develop, tune, and optimize LLM-driven solutions that interpret and reason about complex digital content, while experimenting rapidly from design to deployment and seeing immediate feedback from real-world use cases.
• Partnering closely with other engineers, researchers, and product leaders, you’ll pioneer new approaches to model training and evaluation, taking ownership from early R&amp;D through to production launches, and ensuring your work directly shapes how millions of people experience AI-powered content.
• Train, evaluate, and monitor new and improved LLMs and other algorithmic models; Test and deploy content moderation models in production; Develop medium to long-term vision for content understanding-related R&amp;D; Take ownership of results delivered to customers.

Senior Full Stack Engineer, Python, React

Senior AI Engineer – LLM-Based Content Moderation