Chaos Labs builds infrastructure for organizations adopting AI at scale. Our products help organizations understand their AI work, capture the knowledge it generates, and turn everyday AI activity into intelligence they own.
Reporting directly to the Tech Lead, you'll play a key role in building AI-native products used by organizations adopting AI at scale. You'll own features end-to-end, influence technical decisions, and help shape the next generation of enterprise AI.
Responsibilities
- Build responsive frontend applications exclusively with React and TypeScript.
- Develop scalable backend services and APIs using Python and Rust.
- Integrate applications with AWS or GCP infrastructure.
- Design and maintain databases, integrations, automated tests, and CI/CD pipelines.
- Optionally develop AI features involving LLMs, RAG, embeddings, vector databases, and agents.
- Monitor and improve application reliability, performance, security, and cost.
- 5+ years of professional software engineering experience.
- Strong Python and JavaScript/TypeScript skills.
- Production experience with React.
- Backend API and distributed-systems experience.
- Familiarity with AWS, Azure or GCP.
- Familiarity with Kubernetes
- Familiarity with SQL and NoSQL databases.
- Experience with Rust, Go, or another statically typed language is a plus.
- Familiarity with RAG, embeddings, vector databases, AI agents, and prompt evaluation is a plus.
- Strong communication, product thinking, and problem-solving skills.
Preferred Qualifications:
- Flexibility to work remotely. Ability to travel up to 30% of the year to collaborate in person with the team
- Proficiency in [specific tools/languages relevant to the role].
- Familiarity with profiling tools and performance optimization techniques.
- Demonstrated ability to work in a fast-paced, collaborative environment.
Benefits:
- Compensation & Equity – competitive package aligned with growth, performance, and merit
- Career Growth Opportunities – be part of a rapidly expanding, global technology company with room to grow professionally
Skills Required
- 5+ years of professional software engineering experience
- Strong Python skills
- Strong JavaScript/TypeScript skills
- Production experience with React
- Backend API and distributed-systems experience
- Familiarity with AWS, Azure, or GCP
- Familiarity with Kubernetes
- Familiarity with SQL and NoSQL databases
- Strong communication, product thinking, and problem-solving skills
- Experience with Rust, Go, or another statically typed language
- Familiarity with RAG, embeddings, vector databases, AI agents, and prompt evaluation
- Flexibility to work remotely and ability to travel up to 30% per year
- Proficiency in specific tools/languages relevant to the role
- Familiarity with profiling tools and performance optimization techniques
- Ability to work in a fast-paced, collaborative environment
What We Do
Decentralized blockchain applications introduce a myriad of technical challenges, security vulnerabilities and attack vectors. With DeFi (decentralized finance) protocols now securing hundreds of billions in value in production, the stakes have never been higher. With new technological primitives and bustling innovation, new security paradigms are required. dApps leverage open source modules and often consume other protocols in order to create new applications. This introduces a dependency heavy software architecture which makes it an ideal candidate for runtime verification. Chaos Labs is a cloud platform which enables teams to create high-fidelity agent and scenario-based simulations on mainnet forks, offering a real-world testing environment. By providing a rich library of customizable agents and scenarios, teams can rapidly speed up development and reduce their go-to-market time, helping them stay competitive without compromising on the security of their protocol. Additionally, Chaos Labs focuses on developer tooling and cloud infrastructure, allowing teams to move fast on stable infrastructure. The platform is currently live for protocols on the Ethereum network and later expanding to additional blockchains such as Terra, NEAR and Polygon.
