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Gray Swan

Real-time AI risk detection and protection

Senior Software Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timePittsburgh, PA, USA

About the Job

Requirements

  • Proficiency in TypeScript or JavaScript.
  • Experience with frontend frameworks such as React, Vue, or Svelte.
  • Solid understanding of HTML and CSS.
  • Hands-on experience building backend APIs.
  • Knowledge of database systems (SQL or NoSQL); MongoDB is a plus.

Responsibilities

  • Design and develop web applications using modern frontend frameworks such as Svelte.
  • Build intuitive and user-friendly interfaces.
  • Develop and maintain backend APIs using tools such as FastAPI.
  • Manage and optimize database systems such as MongoDB.
  • Collaborate with the machine learning research team to integrate AI experiences into products.

Desired Qualifications

  • Experience with SvelteKit.
  • Python proficiency and exposure to artificial intelligence or machine learning frameworks.
  • Experience creating AI-driven applications.
  • Experience deploying and scaling applications on cloud platforms such as AWS, Google Cloud, or Azure.
  • Familiarity with continuous integration and continuous delivery pipelines and DevOps practices.
  • Knowledge of secure coding practices and mitigating vulnerabilities in web applications.
  • Contributions to open-source projects or an active GitHub profile or portfolio showcasing relevant work.
  • Experience with testing frameworks such as Jest or Playwright.
  • Understanding of AI safety principles or ethical considerations in AI systems.

About the Company

Gray Swan

Real-time AI risk detection and protection

Gray Swan AI develops security solutions for AI deployments, helping organizations identify, manage, and reduce risks in AI models. It provides real-time monitoring, input/output filtering, and threat analysis to prevent adversarial inputs, prompt injections, and model misuse. Core products are Cygnal (input/output filtering to prevent harmful behavior), Shade (automated attack simulations to uncover weaknesses), and Cygnet (an enterprise-focused, safety-oriented language model). Its goal is to enable reliable, compliant, and safe AI deployment by delivering ongoing protection across the AI lifecycle and focusing on the security layer of AI systems.

Company size
51-200
Company stage
Series A
Total funding
$45.7M
Headquarters
Pittsburgh, PA
Founded
2023

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