AI Engineer

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🕒 December 30, 2025

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Cinder

WebsiteLinkedInAll Job Openings

11 - 50 employees

🔐 Security

☁️ SaaS

🤖 Artificial Intelligence

Security • SaaS • Artificial Intelligence

Cinder is a company that provides a comprehensive platform for Trust and Safety teams. Its platform integrates moderation, case management, and AI development to improve the efficiency and effectiveness of online safety operations. Cinder centralizes data, automates workflows, and provides powerful insights into business operations, making it easier for teams to manage and innovate on Trust and Safety protocols. Furthermore, Cinder offers an API that facilitates the development of AI detection models and innovative interventions, all while ensuring robust data security and scale. The platform is designed to streamline operations across various digital environments, such as marketplaces and content platforms, providing a secure, scalable, and flexible solution for trust and safety concerns.

📋 Description

• Own the complete lifecycle of large language model implementation: from data preparation and fine-tuning through rigorous evaluation and production deployment. • Develop automated evaluation frameworks that continuously assess model accuracy, identify edge cases, and quantify improvements across iterations. • Work directly with product managers and engineers to integrate AI as a core product capability. • Shape our AI roadmap by staying current with industry developments, evaluating emerging techniques, and making pragmatic adoption decisions. • Design and implement low-latency, high-throughput, cloud-based AI/ML systems capable of handling thousands of requests per second • Build the foundational infrastructure - model serving, monitoring, deployment pipelines, and automated testing frameworks - that enables rapid experimentation and iteration while maintaining production reliability.

🎯 Requirements

• 5-7+ years of engineering experience with demonstrated hands-on knowledge of applying LLMs and agents in industry • Experience at a high-growth startup building machine learning infrastructure from the ground up • Demonstrated ability to take models from research/experimentation through production deployment at scale • Fluency in Python and related AI/ML frameworks (TensorFlow, PyTorch, Keras, etc.) • Hands-on experience with LLMs and contemporary AI engineering patterns: RAG architectures, embedding models, vector databases, prompt engineering, and fine-tuning strategies • Strong foundation in MLOps: CI/CD for ML, model versioning, monitoring, and observability • Strong technical background in AWS cloud architecture and automated infrastructure provisioning with Terraform

🏖️ Benefits

• Competitive salary • Generous benefits • 401k match • Frequent in-person time to connect and innovate