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About the Role
We are seeking a full stack developer to own features from database schema to user interface, integrating AI as a core component of their work. You will build platforms for security researchers and clients, and develop AI-assisted workflows to enable a small team to operate at an unprecedented scale. This role involves real product engineering under adversarial conditions with a high security bar.
Responsibilities
- Design, build, and ship features end-to-end across a React and TypeScript front end and Python or Node.js services, taking ownership from technical design through production support.
- Model data and design APIs that hold up as requirements change.
- Build AI-native product capabilities, including LLM orchestration, agentic and multi-step workflows, retrieval over engagement data, and structured output.
- Use AI coding tooling aggressively in your development loop while maintaining code quality.
- Automate internal engineering and security workflows.
- Write secure code by default and treat security review as part of shipping.
- Participate in code review as both author and reviewer, raising the standard of the codebase.
- Deploy and operate built services, including containerized services, cloud infrastructure, CI/CD pipelines, monitoring, and on-call ownership.
- Collaborate directly with security researchers, auditors, and product stakeholders to translate domain expertise into user-friendly software.
- Contribute to technical direction, including framework choices and architecture, and document decisions.
Requirements
- 4 or more years building and shipping production web applications, with genuine ownership on both the front end and the back end.
- Strong React and TypeScript, including modern state management, component architecture, and CSS.
- Strong server-side skills in Python, Node.js, or both, with production experience designing REST or GraphQL APIs.
- Solid relational database experience, including schema design, query performance, and migrations.
- Experience with cloud infrastructure (AWS, GCP, or Azure), Docker, and CI/CD pipelines.
- Demonstrated AI-forward development practice, including integrating LLM APIs and using AI coding assistants.
- Security-minded engineering instincts and a working understanding of common web vulnerability classes and how to prevent them.
- Excellent asynchronous written communication and self-direction.
- Comfort operating in ambiguity in a constantly changing and evolving work environment.
- Willingness to learn the technical aspects of blockchain and cybersecurity.
Skills
- React
- TypeScript
- Python
- Node.js
- REST APIs
- GraphQL APIs
- PostgreSQL
- AWS
- GCP
- Azure
- Docker
- CI/CD
- LLM APIs
- AI coding assistants
- Blockchain
- Cybersecurity
- ethers.js
- viem
- Solidity
- Rust
- Infrastructure as code
- Secrets management
- Supply chain security
- Automated security scanning
Location
- Remote
Work Type
- Full-time
Experience Level
- 4+ years