The Inception Company

Build the security foundation for a frontier AI platform serving enterprise customers, with a focus on product/API security, secure infrastructure, compliance readiness, and incident response. This hands-on staff-level role spends 70%+ of its time writing code, building security tooling, and automating secure engineering practices.

Build and deploy full-stack AI systems for enterprise customers as a Forward Deployed AI Engineer. You’ll turn rapid proofs of concept into production deployments while translating customer learnings into better models, products, evaluations, and platform capabilities.

Build the applications, platforms, developer tooling, and infrastructure that improve customer use cases and accelerate engineering productivity at an AI-focused company. The role combines product development with internal platform and developer-velocity initiatives.

Build and operate highly scalable backend and model-serving infrastructure for diffusion LLMs handling billions of production inference requests. The role focuses on optimizing latency, throughput, cost, reliability, and deployment automation.

Build full-stack applications that bring diffusion LLM capabilities to users, spanning intuitive frontend experiences, scalable backend services, and model-serving integrations. This role bridges advanced AI systems with production-ready products.

Build the data infrastructure powering distributed LLM training, including scalable ingestion, processing, storage, cataloging, and retrieval systems. You’ll partner with researchers to accelerate experiments and improve the use of large-scale multimodal data.

Build and optimize the large-scale infrastructure that makes reinforcement learning for language models reliable, efficient, and production-ready. This role combines ML systems engineering with close collaboration with research teams.

Build and optimize the distributed infrastructure that makes large-scale LLM training fast, reliable, and reproducible. This role spans high-performance systems, ML frameworks, and training orchestration across thousands of GPUs and nodes.