AI avatar platform with LLM embodiment and content moderation at scale
Genies builds visual avatars for LLMs and AI chat applications using a heavy ML infrastructure stack (PyTorch, SageMaker, Ray Serve, ONNX, TensorRT). The project list reveals a company scaling trust-and-safety operations in parallel with generative model deployment — moderation tooling, content risk mitigation, and LLM integration dominate active work. Hiring has stalled (zero roles posted in 30 days), but the seniority mix skews senior and leadership, suggesting focus on depth over headcount growth.
Genies is an AI avatar technology company founded in 2017 and based in Los Angeles. The platform powers the visual embodiment layer for large language models, allowing developers to integrate personified AI characters into chat, games, and applications through SDKs. The company operates a production-grade ML infrastructure for generative image and 3D model creation, alongside a scaled trust-and-safety operation to manage misuse risks. With 51–200 employees and a primarily engineering-led structure, Genies targets developer and enterprise customers seeking to deploy AI avatars at scale.
Core infrastructure: Python, Go, C++, Docker, Kubernetes. ML/AI: PyTorch, SageMaker, Ray Serve, ONNX, TensorRT, FastAPI. Frontend: React, Next.js, Node.js, JavaScript. DevOps: AWS, GCP, AWS EKS, GitHub, Asana.
LLM integration into avatars, production ML infrastructure for generative models, backend microservices scaling, trust-and-safety tooling and moderation operations, and API security hardening.
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