Software Engineer

About Gray Swan

Gray Swan protects organizations from emerging AI security threats. We build real-time threat detection, automated validation, and adaptive defenses for AI labs and enterprises. We’re a team of ~25 people, well-funded, and growing fast. We have strong traction and globally recognized customers, which means employees here take on real responsibility and meaningful equity from day one. This is a high-ownership environment where you’ll work on hard problems, move quickly, and help shape both the product and the company.

The Role

We’re looking for a software engineer who wants to build things end to end and doesn’t mind getting their hands dirty. You’ll work across the stack—frontend, backend APIs, and databases—helping us turn ideas into real product and improve what’s already in production. You don’t need to have used every tool we use—what matters is that you have solid full-stack experience, pick up new technologies quickly, and are comfortable owning work without a lot of process or hand-holding.

What You’ll Do

• Design and develop web applications using modern frontend frameworks like Svelte
• Build and maintain backend APIs using tools like FastAPI
• Manage and optimize database systems like MongoDB
• Collaborate with our ML research team to integrate AI experiences into our products

Who You Are

• 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)

• SvelteKit experience
• Python proficiency and AI/ML framework exposure
• Experience in creating AI-driven applications
• Experience deploying and scaling applications on cloud platforms (e.g., AWS, Google Cloud, Azure)
• Familiarity with CI/CD pipelines and DevOps practices to streamline development workflows
• Knowledge of secure coding practices and mitigating vulnerabilities in web applications
• Contributions to open-source projects or an active GitHub/portfolio showcasing relevant work
• Experience with testing frameworks (e.g., Jest, Playwright) to ensure code quality
• Understanding of AI safety principles or ethical considerations in AI systems

If You Don't Have All These, You Should Still Seriously Consider Applying

We care more about what you can do than your credentials. You’ll thrive here if you’ve learned things about your code only production traffic can teach, are comfortable debugging across the stack—from browser devtools to database query plans, and are interested in applying your security mindset to AI, where the threat model is still being written.

What We Offer

• A competitive compensation package designed to reward impact and incentivize growth
• Salary: $110k-185k plus performance based bonus
• Equity: Competitive equity package
• Benefits: 401k with up to 4% matching, 28 days annual leave (vacation + holidays), health, dental, and vision coverage, catered lunches (Pittsburgh office), flexible work arrangements, visa sponsorship available for exceptional candidates

Interview Process

• Application review
• Online technical screen (15 min)
• Intro call (30 min)
• Technical interview (90 min)
• Experience & culture interview (60 min)
• Reference checks
• Offer

How to Apply

Submit your resume, link to your portfolio, and answer the questions on the application.