Senior Software Engineer (Pittsburgh)
Gray Swan · Pittsburgh, PA
Software Engineering
About this role
The Software Engineer will work across the full stack, including frontend, backend APIs, and databases, to build and improve products. Key responsibilities include designing web applications with Svelte, developing backend APIs using FastAPI, and managing MongoDB databases. The role involves collaborating closely with the ML research team to integrate AI experiences into the products. The engineer will operate in an autonomous, fast-paced environment, handling everything from browser debugging to database query optimization. The position is part of a growing team of approximately 50 people focused on AI safety and security.
Skills & technologies
Nice to have
- SvelteKit
- Python
- AI/ML
- AWS
- Google Cloud
- Azure
- CI/CD
- DevOps
- Jest
- Playwright
- Secure Coding
Read full description
About Gray Swan
Gray Swan is on a mission to empower the world to use AI safely and securely. We evaluate AI models for the leading frontier labs along with building real-time threat detection and adaptive adversarial red teaming agents for teams deploying AI.
We're a team of approximately 50 people, well-funded, growing quickly. Our work directly influences how the world deploys AI agents and systems at scale..
About
Learn more about how we work.
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. We are still in the early stages of our growth, so if you like autonomy, responsibility, and moving fast, then please apply for this opportunity!
What You’ll Do:
You’ll Thrive Here If You:
We offer a competitive compensation package designed to reward impact and incentivize growth. Our compensation philosophy is informed by our current valuation and recent industry data.
Compensation: $180k-$220k plus performance based bonus and meaningful equity package
Benefits:
🔎 Application review. We read everything; we’ll respond within 10 days.
🗣 Recruiter Screen. We learn about you; you learn about us.
🧑💻 Technical interview or Hiring Manager Interview.
💻 Role related assesment
🗣 Experience & culture interview
😇 Reference checks. We’ll reach out to 3-5 references that you provide.
📃 Offer. If it’s mutual, we move fast.
How To Apply
Submit your resume, link to your portfolio, and answer the questions on the application.
Compensation Range: $180K - $220K
Gray Swan is on a mission to empower the world to use AI safely and securely. We evaluate AI models for the leading frontier labs along with building real-time threat detection and adaptive adversarial red teaming agents for teams deploying AI.
We're a team of approximately 50 people, well-funded, growing quickly. Our work directly influences how the world deploys AI agents and systems at scale..
About
Learn more about how we work.
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. We are still in the early stages of our growth, so if you like autonomy, responsibility, and moving fast, then please apply for this opportunity!
What You’ll Do:
- Design and develop web applications using modern frontend frameworks like Svelte
- Build intuitive and user-friendly interfaces that delight users
- Develop 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
- 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
You’ll Thrive Here If You:
- You've learned things about your code only production traffic can teach
- You're comfortable debugging across the stack – from browser devtools to database query plans.
- You've worked in environments where moving fast matters and you know how to balance speed with sustainability.
- You're interested in applying your security mindset to AI, where the threat model is still being written
We offer a competitive compensation package designed to reward impact and incentivize growth. Our compensation philosophy is informed by our current valuation and recent industry data.
Compensation: $180k-$220k plus performance based bonus and meaningful 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
🔎 Application review. We read everything; we’ll respond within 10 days.
🗣 Recruiter Screen. We learn about you; you learn about us.
🧑💻 Technical interview or Hiring Manager Interview.
💻 Role related assesment
🗣 Experience & culture interview
😇 Reference checks. We’ll reach out to 3-5 references that you provide.
📃 Offer. If it’s mutual, we move fast.
How To Apply
Submit your resume, link to your portfolio, and answer the questions on the application.
Compensation Range: $180K - $220K
$180,000–$220,000 / yearApply now
