Gray Swan builds tools to evaluate and secure AI models in production. The tech stack—PyTorch, FastAPI, MongoDB, and cloud infrastructure (AWS/GCP/Azure)—reflects a typical ML-ops footprint, but the hiring pattern is notable: 17 active roles split evenly between engineering (8) and sales (8), with 14 senior-level hires across both functions. This suggests a go-to-market push paired with technical depth, typical of early-stage companies moving from R&D into customer deployment.
Gray Swan AI is an AI safety and security company founded in 2023 and headquartered in Pittsburgh. The company develops tools that automatically assess risks in AI models and provides safety and security solutions. Core projects center on adversarial testing, model evaluation, secure deployment architecture, and production system integration. The 11–50 person team is actively hiring across the U.S., with open roles concentrated in engineering, sales, and design roles. Current challenges include integrating security platforms into complex production environments, adversarial testing at scale, and helping customers define their AI security posture.
PyTorch and FastAPI for core ML services, MongoDB for data, React/Vue/Svelte for frontend, and multi-cloud deployment (AWS, GCP, Azure). Testing via Jest and Playwright.
Adversarial testing, model evaluation, secure deployment architecture, production integration of AI security platforms, and proof-of-concept pilots with customers.
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