Senior Full Stack AI Engineer

Chaos Labs is building a new AI platform for the enterprise, focused on how organizations operate and create value in an AI-native world. We’re bringing years of experience building applied AI and mission-critical infrastructure to a new category of enterprise software. Previously, Chaos Labs built the leading risk management platform for on-chain finance, processing more than $5 trillion in financial volume and managing tens of billions of dollars in assets.

We’ve raised $65 million from Haun Ventures, Lightspeed, Galaxy, General Catalyst, Bessemer, F-Prime, PayPal, and others. We’re currently operating in stealth and building with a small team around a technically ambitious problem we believe will become increasingly important as AI reshapes how companies work.

How We Work

Chaos is built around high-agency, high-talent individual contributors. We keep teams small, give people meaningful ownership, and expect them to operate with autonomy, strong judgment, and a high bar for their craft. We hire people who can take an ambiguous, important problem and drive it forward — not just execute against a predefined roadmap. Titles matter less than impact, and the people closest to a problem are trusted to make decisions and own outcomes.

We move fast, stay close to the work, and care deeply about building things exceptionally well. Ownership over instruction. Impact over hierarchy.

The Role

We’re hiring a Senior Full-Stack AI Software Engineer to own the design, development, and operation of full-stack applications and infrastructure that power our enterprise AI platform.

This is a high-impact role with significant ownership from day one. You’ll work closely with Product, Engineering, and other cross-functional partners to build reliable, scalable, and high-performance products across the frontend and backend, taking problems from ambiguity through execution and measurable impact.

You’ll work across the stack — from responsive React applications and backend APIs to cloud infrastructure, databases, integrations, and deployment pipelines — with opportunities to build AI-powered product capabilities using modern LLM technologies.

What You’ll Do

• Own the design and development of full-stack product experiences end to end, building responsive frontend applications exclusively with React and TypeScript and scalable backend services and APIs using Python and Rust.
• Drive the development of reliable, scalable, secure, and high-performance applications, continuously improving application performance, reliability, security, and cost.
• Partner with Product, Engineering, and cross-functional teams to translate ambiguous product and technical problems into production-ready solutions.
• Build and improve the underlying cloud infrastructure, databases, integrations, automated tests, and CI/CD pipelines, integrating applications with AWS infrastructure.
• Develop AI-powered product capabilities, where relevant, using LLMs, RAG, embeddings, vector databases, and AI agents.
• Identify technical and product opportunities, form strong points of view, and turn them into action.

What We’re Looking For

• 5+ years of professional software engineering experience.
• Strong proficiency in Python and JavaScript/TypeScript.
• Expertise with RAG, embeddings, vector databases, AI agents, and prompt evaluation techniques.
• Production experience building applications with React.
• Experience building backend APIs and distributed systems.
• Expertise with AWS.
• Familiarity with Kubernetes.
• Experience working with SQL and NoSQL databases.
• Strong communication, product thinking, and problem-solving skills.
• Comfort taking ownership of ambiguous technical problems and driving them from design through production.
• Ability to operate effectively in a fast-paced, collaborative environment.

• 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.
• Strong communication, product thinking, and problem-solving skills.

Preferred Qualifications

• Experience with Rust, or another statically typed language.
• Familiarity with RAG, embeddings, vector databases, AI agents, and prompt evaluation.
• Familiarity with profiling tools and performance optimization techniques.

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